405 Econometrics Jobs - Page 10

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Position Description Summary Job purpose Technical Lead of a larger team in the R&A COE team to work on various Data Science and Machine Learning projects. Specific Role Requirements Must have at least 4 years of deep experience in building descriptive/ predictive analytical solutions. Capability to clearly understand and articulate a data science problem and lead multiple projects with required support. Should have hands-on experience in handling various datasets and should be familiar with data science and machine learning techniques in R/Python. Deep learning experience is a plus. Should have hands-on experience on database using SQL. Should have knowledge on Data visualization tool like Power BI. Good to have experience in any AutoML tool. Good to have experience in GenAI. Good to have experience in Azure cloud. Client Responsibilities: Need to work as a senior team member who should be able to use their skills/experience to be hands on in rapidly identifying and developing data science solutions. Provide product and design level technical best practices Interface and communicate with the onsite coordinators Develop analytical strategies for business using model results of predictive modelling, time series forecasting, clustering, segmentation of customers etc Documenting and presenting work to the client. Proactively recommending and influencing changes in business decision-making. Completion of assigned tasks on time and regular status reporting to the lead Experience and Qualification: B Tech/Masters or Ph. D. degree in either Economics (econometrics) or Statistics or MBA (with strong quantitative background) or Bachelors in Engineering with strong quantitative background and adequate industry experience Should be at least around 5-6 years of experience in Analytics Should have understanding and experience of analytics best practices. Excellent business communication, Consulting, Quality process skills Must be a team player and team leader Your People Responsibilities (For People Leading Roles) Building a quality culture Manage the performance management for the direct reportees, as per the organization policies Foster teamwork and lead by example Training and mentoring of project resources Mentor the team in a specific area of specialization (stats modelling, machine learning, SAS/R/Python programming etc) Participating in the organization-wide people initiatives Additional Skills Requirements Experience in Insurance/ Banking/ Finance Prior Client facing skills Prior onsite experience is a plus Should have engaged in client interactions, participating in business workshops EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. Show more Show less

Overview Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Responsibilities You will be part of a world-class Data Engineering team, where you will: influence product teams inform Data Science and Analytics Platform teams partner closely with data consumers and producers to ensure quality and usefulness of data assets You will be involved in strategizing measurement, collecting data, and generating insights. This work will help understand and improve product experience and engagement, optimize efficiency and costs, and drive strategy. Data Engineering is a multi-faceted role, where you can have focused or broad set of responsibilities, including: Defining metrics Instrumenting logging Acquiring/ingesting data Architecting & modeling data Transforming data Ensuring data quality, governance, and enablement Alerting, visualization, and reporting Developing at scale and improving efficiency Qualifications Bachelor’s degree (or equivalent work experience) in a STEM field Proficiency in Python or other modern programming language development experience Proficiency in SQL and relational databases experience Additional / Desirable Qualifications Post-graduate degree (or equivalent work experience) in a STEM field (e.g. statistics, mathematics, physics, econometrics, or computer science) and 1-2 years of work experience in Data Engineering or related field An understanding of the SaaS business model and data structures Experience in Enterprise Software product development Our Perks & Benefits Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more. About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh . Show more Show less

Job Description Analytics & Reporting Job Description – Associate Analytics & Reporting (A&R) is a group within Risk Engineering in the Risk Division of Goldman Sachs. The group ensures the firm’s senior leadership, investors and regulators have a complete view of the positional, market, and client activity drivers of the firm’s risk profile allowing them to take actionable and timely risk management decisions. Risk Engineering is a multidisciplinary group of quantitative experts who are the authoritative producers of independent risk & capital metrics for the firm. Risk Engineering is responsible for modeling, producing, reviewing, interpreting, explaining and communicating risk & capital metrics and analytics used to ensure the firm adheres to its Risk Appetite and maintains the appropriate amount of Risk Capital. Risk Engineering provides risk & capital metrics, analytics and insights to the Chief Risk Officer, senior management, regulators, and other firm stakeholders. Role Responsibilities A&R delivers critical regulatory and risk metrics & analytics across risk domains (market, credit, liquidity, operational, capital) and firm activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools. A&R has a unique vantage point in the firm’s risk data flows that, when coupled with a deep understanding of client and market activities, allows it to build scalable workflows, processes and procedures to deliver actionable risk insights. The following are core responsibilities for A&R: Delivering regular and reliable risk metrics, analytics & insights based on deep understanding of the firm’s businesses and its client activities. Building robust, systematic & efficient workflows, processes and procedures around the production of risk analytics for financial & non-financial risk, risk capital and regulatory reporting. Attesting to the quality, timeliness and completeness of the underlying data used to produce these analytics. Qualifications, Skills & Aptitude Eligible candidates are preferred to have the following: Masters or Bachelors degree in a quantitative discipline such as data science, mathematics, physics, econometrics, computer science or engineering. Entrepreneurial, analytically creative, self-motivated and team-oriented. Excellent written, verbal and team-oriented communication skills. Experience with programming for extract transform load (ETL) operations and data analysis (including performance optimization) using languages such as, but not limited to, Python, Java, C++, SQL and R. Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Tableau, Alteryx, PowerBI, and front-end technologies and languages. Working knowledge of the financial industry, markets and products and associated non-financial risk. Working knowledge of mathematics including statistics, time series analysis and numerical algorithms. 1+ years of financial or non-financial risk industry experience. About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. Show more Show less

?Job description ?The candidates are expected to be highly motivated with a strong research background in areas related to Population Economics, Health Economics and Demography. ?They should possess expertise in Statistics/ Econometrics. ?The candidates should be interested to work in the areas of maternal and child health, nutrition, migration and ageing. ?Requirements ??A deep understanding of core concepts in Demography and Economics. ? ?Hands-on experience with analytical and computational tools (e. g. , SPSS, STATA, Python, MATLAB, or R). ?Strong academic credentials with high-quality journal publications and/or patents. ? ?A minimum of four Q-1 or equivalent (Scopus/ABDC/ABS-ranked) journal publications per year is expected as part of the role. ? ?Ability to assist PhD scholars? ?Strong hold on English writing skill ?Experience ?3-5 Years ?Qualification ?As per University norms

Principal Data Science Manager Hyderabad, Telangana, India Date posted Apr 17, 2025 Job number 1819369 Work site Microsoft on-site only Travel 0-25 % Role type People Manager Profession Research, Applied, & Data Sciences Discipline Data Science Employment type Full-Time Overview Are you an experienced Principal Data Science Manager , with a relentless passion for data and analytics and a desire to drive future products via key data insights? Do you love managing and mentoring other Data scientists, analysts and Data engineers to achieve critical business goals? Does the thought of being able to influence the product in each stage of the lifecycle through insights & predictions excite you? Do you love measuring, understanding, and predicting based on real-world user data to come up with insights that drive experiments and recommendations to help move business metrics? If so, we want to talk to you! We are the Data & Applied Sciences team for Windows at Hyderabad, India. We work across various Windows products with the goal of using advanced analytics & data science to inform decision making, drive product performance and maximize business impact through the power of Data. In short, we thrive on data to solve high impact business problems for Windows! We're looking for an enthusiastic, hands-on and expert Principal Data Scientist Manager, to help us generate and deliver insights and recommendations through data for experiences running on 1.3 billion Windows devices. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. 5+ years of experience as a lead, including mentoring and growing junior data scientists & analysts. 10+ years of experience as a practicing Data Scientist. Exceptional teamwork and values that foster a positive team culture. Experience in collaborating with teams across different time zones and geographies. Experience with EDA, Inference analysis, Predictive analysis (Regression, Classification etc.,) and forecasting. Experience with Experiment Design and analysis. Experience in one or more programming languages, preferably C#, Python or Java. Experience in mentoring less experienced data engineers and helping to set a positive team culture. Ability to learn and work effectively in a highly ambiguous, rapidly evolving environment Demonstrated partnership, collaboration, and interpersonal skills. Excellent oral and written communication skills and ability to "tell compelling stories" through data. Preferred Qualifications Experience with Big Data technologies like Spark, Hadoop or other open- source technologies or SCOPE/COSMOS or U-SQL/ADL. A proven track record of demonstrated leadership in complex areas, through critical thinking, thought leadership, technical skills and relentless drive for progress. #W+Djobs #Windows, #Windows India, #Data Science Responsibilities As an experienced Data Scientist Manager, you will take on the most complex problems and guide the rest of the team in their efforts, helping them formulate approaches to solve challenging problems and discover new opportunities using well-defined algorithms and data sources in context of customer, engineering, and business needs. Your responsibilities will include working closely with a variety of teams such as Engineering, Product Management, Design and application partners to understand the key business questions for customer-facing scenarios, to set up the key performance indicators, deeply analyze the data to identify insights and experiment ideas that moves our business metrics. We will be looking to you to help evaluate the return of investments on new ideas, to assess if investments are meeting customer and business promises, to design and assess experiments, to measure growth and to derive insights that help identify next wave of opportunities and problems to be solved. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Principal Applied Scientist Hyderabad, Telangana, India Date posted May 13, 2025 Job number 1811311 Work site Microsoft on-site only Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Applied Sciences Employment type Full-Time Overview Microsoft’s Path team helps customers along their journey from the initial idea to the final realization of their goals – from Idea to Plan to Done. We are responsible for collaborative work management products including Microsoft Project, Planner, To Do, Whiteboard, and Visio. We are actively working to envision and create “The Future of Work” leveraging LLMs and Agentic AI to provide utility and value to our customers. As a Principal Applied Scientist in Path you will help drive the analysis and quality of the content our agentic system produces and design and conduct experiments to maximize what customers can do with our products. You will also provide consultation and expertise to product and engineering teams on how to structure telemetry, UI, and software design to bets leverage Ai capabilities. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Other Requirements: Candidates must be able to meet Microsoft, customer and/or government security screening requirements that are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: Master's Degree in Statistics, Econometrics, Computer Science, Electrical OR Computer Engineering, OR related field AND 9+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical OR Computer Engineering, OR related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker. 5+ years experience conducting research as part of a research program (in academic or industry settings). 3+ years experience developing and deploying live production systems, as part of a product team. 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping. #agentic #llm Responsibilities You will master a broad area or research and understand any applicable research techniques. You’ll also serve as a team expert on changes in industry trends, products, and other advances, and apply this knowledge to influence product needs. You will review business and product requirements, incorporate research, and provide strategic direction for problem solving. You’ll also ensure scientific rigor, support the development of methods, and apply your expertise to support business impact. You will identify and inspire peers and new research talent to join Microsoft, build relationships, and advocate for research initiatives. You’ll share research findings through industry outreach, collaborate with the academic community, and help develop the recruiting pipeline. You will document work and experimentation results and share findings to promote innovation. You’ll provide guidance when capturing processes and contribute to ethics and privacy policies related to research processes and data collection. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Principal Applied Scientist Hyderabad, Telangana, India Date posted May 16, 2025 Job number 1787944 Work site Microsoft on-site only Travel None Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Applied Sciences Employment type Full-Time Overview The Microsoft E+D India team is looking for high caliber and highly motivated AI Experts to reimagine productivity with AI and build transformative products for our commercial customers. Our team focuses on strategic workloads like M365 Copilot App, Outlook, Teams, Copilot Extensibility, and so on. In addition, the team obsesses about building next generation engineering infrastructure, tooling and process using AI for improving developer productivity and engineering efficiency. This provides every engineer with exceptional opportunities for rich learning, end-to-end ownership, autonomy, innovation and professional growth. Our team of Applied Scientists is chartered to tackle a wide variety of challenges, from building data ingestion to curating data for fine tuning to generating actionable insights to fine tune prompts to come up with evaluation metrics to make purpose-built SLMs to infuse AI in productivity scenarios to create AI tooling. Every member of this team is expected to collaborate with other teams across Microsoft that are building AI platforms, models and products. She is expected to lead the feature crews with a growth mindset for embracing and extending the rapidly evolving innovations and breakthroughs in this field. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Preferred Qualifications: Solid customer focus and passion for doing the right thing for the customer. Proven ability to establish trusted, effective relationships across diverse sets of stakeholders. Excellent communication skills and cross group collaboration. Ability to keep pace with rapid innovations in the field and to be creative to solve problems with no past techniques. Experience in developing / working with highly scalable classifiers, ranking algorithms, SLMs, LLMs, Finetuning with RLHF, etc.. #M365CORE Responsibilities Microsoft is committed to Responsible AI and digital safety for all. Every member of the team is expected to work through these frameworks to preserve our commitment to responsible AI while innovating rapidly. She needs to be self-driven, proactive, results-oriented and ready to work with minimal ongoing direction to succeed in this environment of rapid changes and building products from grounds up. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Principal Applied Scientist Bangalore, Karnataka, India Date posted May 30, 2025 Job number 1819211 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Applied Sciences Employment type Full-Time Overview Do you want to be part of a team which delivers innovative products and machine learning solutions across Microsoft to hundreds of millions of users every month? Microsoft Turing team is an innovative engineering and applied research team working on state-of-the-art deep learning models, large language models and pioneering conversational search experiences. The team spearheads the platform and innovation for conversational search and the core copilot experiences across Microsoft’s ecosystem including BizChat, Office and Windows. As a Principal Applied Scientist in the Turing team, you be pushing & delivering on multiple tight timeline-based hands on data science activity and work, including training models, creating evaluation sets, building infrastructure for training and evaluation, and more. This will involve coordinating & aligning with internal & external data science, product & engineering teams across timezones. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 12+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 10+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. At least 3+ years of experience delivering team level outcomes. 2+ years of industrial experience coding in C++, C#, C, Java or Python. Prior experience with data analysis or understanding, looking at data from a large-scale systems to identify patterns or create evaluation datasets. Familiarity with common machine learning, deep learning frameworks and concepts, using use of LLMs, prompting. Ability to communicate technical details clearly across organizational boundaries. Preferred Qualifications: 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker. #MSAI #Turing #LLMs #Modeltraining Responsibilities As a Principal Applied Scientist on our team, you'll be responsible for and will engage in: Driving projects from design through conception, implementation, experimentation and finally shipping to our users. This requires deep diving into data to identify gaps, coming up with heuristics and possible solutions, using LLMs to create the right model or evaluation prompts, and setting up the engineering pipeline or infrastructure to run them. Documenting progress & processing, assisting & guiding junior team members, aligning & unblocking them with other stakeholders in timezones. Coming up with evaluation techniques, datasets, criteria and metrics for model evaluations. These are often SOTA models or metrics / datasets. Hands on pre-training, fine-tuning, use of language models, including dataset creation, filtering, review, and continuous iteration. This may also require understanding of training frameworks, formats, checkpoints, stacks such as megatron. This requires working in a diverse geographically distributed team environment where collaboration and innovation are valued. You will have an opportunity for direct impact on design, functionality, security, performance, scalability, manageability, and supportability of Microsoft products that use our deep learning technology. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Principal Applied Science Manager Bangalore, Karnataka, India Date posted Apr 17, 2025 Job number 1819628 Work site Up to 50% work from home Travel 0-25 % Role type People Manager Profession Research, Applied, & Data Sciences Discipline Applied Sciences Employment type Full-Time Overview Do you want to be part of a team which delivers innovative products and machine learning solutions across Microsoft to hundreds of millions of users every month? Microsoft Turing team is an innovative engineering and applied research team working on state-of-the-art deep learning models, large language models and pioneering conversational search experiences. The team spearheads the platform and innovation for conversational search and the core copilot experiences across Microsoft’s ecosystem including BizChat, Office and Windows. As a Principal Applied Science Manager in the Turing team, you be pushing & delivering on multiple tight timeline-based hands on data science activity and work, including training models, creating evaluation sets, building infrastructure for training and evaluation, and more. This will involve coordinating & aligning with internal & external data science, product & engineering teams across timezones. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 15+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research). OR equivalent experience. 6+ year(s) of people management experience. 5+ years of experience delivering team level outcomes. 8+ years of industrial experience coding in C++, C#, C, Java or Python Prior experience with data analysis or understanding, looking at data from a large-scale systems to identify patterns or create evaluation datasets Familiarity with common machine learning, deep learning frameworks and concepts, using use of LLMs, prompting. Experience in pytorch or tensorflow is a bonus. Ability to communicate technical details clearly across organizational boundaries. Preferred Qualifications: Master's Degree in Statistics, Econometrics, Computer Science, Electrical OR Computer Engineering, OR related field AND 9+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical OR Computer Engineering, OR related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 5+ years of people management experience. #M365CORE #MSAI #Turing Responsibilities As a Principal Applied Science Manager on our team, you'll be responsible for and will engage in: Driving projects from design through conception, implementation, experimentation and finally shipping to our users. This requires deep diving into data to identify gaps, coming up with heuristics and possible solutions, using LLMs to create the right model or evaluation prompts, and setting up the engineering pipeline or infrastructure to run them. Manage a small team of applied scientists, assigning tasks, closely mentoring or guiding them, taking responsibility for their outcome / growth & overall output. Any of the activities below could be delegated or done by the individual oneself – either way, one is expected to know the activity well enough to drive it efficiently. Documenting progress & processing, assisting & guiding junior team members, aligning & unblocking them with other stakeholders in timezones. Coming up with evaluation techniques, datasets, criteria and metrics for model evaluations. These are often SOTA models or metrics / datasets. Hands on own the fine-tuning, use of language models, including dataset creation, filtering, review, and continuous iteration. This requires working in a diverse geographically distributed team environment where collaboration and innovation are valued. You will have an opportunity for direct impact on design, functionality, security, performance, scalability, manageability, and supportability of Microsoft products that use our deep learning technology. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Senior Applied Scientist Bangalore, Karnataka, India Date posted May 30, 2025 Job number 1821994 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Applied Sciences Employment type Full-Time Overview Do you want to be part of a team which delivers innovative products and machine learning solutions across Microsoft to hundreds of millions of users every month? Microsoft Turing team is an innovative engineering and applied research team working on state-of-the-art deep learning models, large language models and pioneering conversational search experiences. The team spearheads the platform and innovation for conversational search and the core copilot experiences across Microsoft’s ecosystem including BizChat, Office and Windows. As a Senior Applied Scientist in the Turing team, you will be involved in tight timeline-based hands on data science activity and work, including training models, creating evaluation sets, building infrastructure for training and evaluation, and more. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Prior experience with data analysis or understanding, looking at data from a large scale systems to identify patterns or create evaluation datasets. Familiarity with common machine learning, deep learning frameworks and concepts, using use of LLMs, prompting. Experience in pytorch or tensorflow is a bonus. Ability to communicate technical details clearly across organizational boundaries. Preferred Qualifications: Master's Degree in Statistics, Econometrics, Computer Science, Electrical OR Computer Engineering, OR related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical OR Computer Engineering, OR related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). #M365CORE #MSAI #MSTuring #Turing #msturingjobs Responsibilities As an Applied Scientist on our team, you'll be responsible for and will engage in: Driving projects from design through implementation, experimentation and finally shipping to our users. This requires deep dive into data to identify gaps, come up with heuristics and possible solutions, using LLMs to create the right model or evaluation prompts, and setup the engineering pipeline or infrastructure to run them. Come up with evaluation techniques, datasets, criteria and metrics for model evaluations. These are often SOTA models or metrics / datasets. Hands on own the fine-tuning, use of language models, including dataset creation, filtering, review, and continuous iteration. This requires working in a diverse geographically distributed team environment where collaboration and innovation are valued. You will have an opportunity for direct impact on design, functionality, security, performance, scalability, manageability, and supportability of Microsoft products that use our deep learning technology. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Location: Bengaluru, KA, IN Company: ExxonMobil About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can work together . What role you will play in our team We are seeking candidates to tackle challenging commercial problems in pricing, marketing, sales, transportation, storage, and distribution of hydrocarbons. The ideal candidate will understand both the commercial/economic and technical aspects of the oil and gas sector and will be able to formulate and solve oil and gas industry problems using data science, econometrics, statistical analysis, and programming skills. What you will do Collaborate with data scientists, data analysts, software developers, business representatives from chemical, lubricants, and fuels value chains, and demand planners globally to develop, deliver, and apply computational tools, models, or software to support our business. Utilize machine learning, time series analysis, pattern recognition, statistical analysis, design of experiments, and data visualizations, along with domain knowledge, to solve commercial and logistics problems and provide business insights. Design, build, and execute studies using proprietary or commercial tools to provide insights, including calibrating models to pricing/sales/demand data and providing optimized recommendations. About You Skills and Qualifications Bachelor’s, Master’s, or PhD degree from a recognized university in Data Science, Computer Science, IT, Applied Mathematics, Statistics, Engineering, or related disciplines with a minimum GPA of 7.0 (out of 10.0). At least 2 years of experience in developing, applying, and validating data-driven tools to model complex systems. In-depth knowledge and practical experience in statistical analysis techniques (e.g., classification, regression, time-series, Bayesian techniques) and machine learning techniques (e.g., decision trees, ensemble methods, deep learning, neural networks, validation methods). Practical experience in the full machine learning lifecycle, from problem formulation and data acquisition to model building and deployment at enterprise scale. Specialization in at least one sub-domain, such as time series forecasting, econometrics, statistics, or NLP. Proficiency in Python and R, including packages such as NumPy, pandas, scikit-learn, Keras, TensorFlow, and PyTorch. Experience with software engineering practices, agile methodologies, DevOps, and version control. Experience working with Azure Databricks or other data science frameworks. Familiarity with software testing and development practices (Agile). Experience with data visualization tools (e.g., Tableau, Power BI). Preferred Qualifications / Experience Knowledge of supply chain operations, including demand planning, inventory optimization, vehicle routing, and network optimization. Prior experience in commercial software development or working in commercial software teams. Ability to identify and scope data science opportunities based on business needs. Strong communication and interpersonal skills, with the ability to work collaboratively in a global team environment. Excellent problem-solving skills and attention to detail. Your benefits An ExxonMobil career is one designed to last. Our commitment to you runs deep our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you: Competitive compensation Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits Retirement benefits Global networking & cross-functional opportunities Annual vacations & holidays Day care assistance program Training and development program Tuition assistance program Workplace flexibility policy Relocation program Transportation facility Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company’s eligibility guidelines. Stay connected with us Learn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India . Follow us on LinkedIn and ExxonMobil (@exxonmobil) • Instagram photos and videos Like us on Facebook Subscribe our channel at YouTube EEO Statement ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status. Business solicitation and recruiting scams ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil. Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships. Job Segment: Sustainability, Testing, Test Engineer, Computer Science, Software Engineer, Energy, Technology, Engineering

Principal Data Scientist Bangalore, Karnataka, India Date posted May 20, 2025 Job number 1771525 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Data Science Employment type Full-Time Overview Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day? The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges. We work closely with our customers’ engineers to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We pride ourselves in making contributions to open source and making our platforms easier to use. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform. In this role, you will be working with engineers from your team and our customers’ teams to apply your skills, perspectives, and creativity to grow as engineers and help solve our customers’ toughest challenges. We are hiring a Data Scientist with deep experience in data management and expertise in developing statistical techniques to analyze data and find patterns. As part of our team, you will be working side-by-side with high-impact engineers and strategic customers to solve complex problems. You will communicate trends and innovative solutions to stakeholders. You will work cross-functionally with several teams including crews, product teams, and program management to deploy business solutions. Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact billions around the world! Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Preferred Qualifications; Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Experience working as part of geographically dispersed, diverse, and virtual teams Enjoy travel and are comfortable with travel up to 25% Demonstrated ability to work with customers and collaborate across company boundaries. 5+ years customer-facing, project-delivery experience, professional services, and/or consulting experience. Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact billions around the world! At Microsoft, we are seeking people who have a passion for the positive impact technology can have on communities and for making a difference in the world. Within ISE, you will find a wide range of backgrounds, perspectives, personal and cultural experiences which are vital to our success with our customers. It’s an informal and flexible work environment and you’ll be welcome to work in the way that best enables you to get your job done. We invest in your health, wellness, and financial future by offering a competitive package including a wide range of benefits built around your personal needs and those close to you. #IPS #ISEngineering Responsibilities Business Understanding and Impact Leads data-science projects or teams to align with business needs and deliver value. Data Preparation and Understanding Leads data acquisition and understanding efforts for engineering projects using various tools and techniques. Modeling and Statistical Analysis Develops and applies ML frameworks and best practices for scalable and ethical solutions. Evaluation Oversees review of data analysis and modeling techniques. Ensures selected modeling techniques are appropriate and align with desired project outcomes. Decides on next steps (e.g., deployment, further iterations, new projects). Industry and Research Knowledge/Opportunity Identification Provides feedback, drives improvement, and shares knowledge as a data science expert. Coding and Debugging Writes and debugs code for complex projects and leads solution development. Business Management Leads ML and data-science partnerships and IP improvement. Customer/Partner Orientation Provides customer-oriented insights and solutions by understanding the business, product, data, and customer perspective. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Microsoft Advertising empowers businesses to reach global audiences with precision and creativity. We build cutting-edge technology that connects advertisers and consumers across search, display, video, and emerging media platforms. We are seeking a Senior Applied Scientist to drive innovation in training and deploying LLMs (Large Language Models) and agentic models tailored for advertising. In this role, you will lead initiatives that address core challenges in ad retrieval, creative generation, relevance, and safety, contributing to the future of responsible, high-impact advertising solutions. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Design, develop, and train LLMs and agentic models for advertising scenarios. Innovate on model architectures and training strategies to enhance ad retrieval, generation, and relevance at scale. Build solutions that proactively address ad safety, including detection of deceptive or harmful content. Collaborate cross-functionally with product and engineering teams to integrate models into production systems and validate their impact. Lead technical exploration and research efforts, staying at the forefront of advancements in AI and advertising technology. Mentor junior scientists and contribute to a culture of technical excellence and innovation. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Expertise in training and deploying LLMs. Deep understanding of transformer architectures, large-scale distributed training, and model optimization. Solid programming skills in Python, C++, and familiarity with frameworks like PyTorch or TensorFlow. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: Experience in reinforcement learning, multi-agent systems, or decision-making frameworks. Experience with ads systems, search ranking, recommendation engines, or ad safety models is highly desirable. #MicrosoftAI Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

We are seeking a Principal Applied Scientist to lead the design, training, optimization, and deployment of large-scale AI models, including LLMs and agentic systems for advertising. This role focuses on scalable model architectures, efficient inference, and agentic capabilities that drive high-impact ad solutions. As a technical leader, you will shape strategic AI initiatives in ad retrieval, creative generation, relevance, and safety, while advancing the frontier of scalable and agent-driven AI systems. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Lead the design and training of LLMs and agentic models at large scale, driving core advertising scenarios such as retrieval, generation, personalization, and safety. Innovate on model architectures, distributed training strategies, and system optimizations to ensure scalable and efficient production deployment. Develop and implement high-performance inference strategies, reducing latency and computational overhead while maintaining model quality. Partner with product and engineering leaders to integrate AI solutions seamlessly into Microsoft Ads’ global platform. Foster a culture of technical excellence, mentorship, and collaboration across teams and functions. Contribute to Microsoft’s AI research ecosystem by publishing, patenting innovations. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Solid hands-on experience in designing and deploying LLMs or foundation models at large scale. Deep understanding of transformer architectures, distributed training, and model optimization for production environments. Expertise in high-performance inference techniques for latency-critical applications. Solid programming skills in Python, C++, and familiarity with PyTorch, TensorFlow, and distributed systems. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: Experience in agentic modeling, including reinforcement learning, multi-agent systems. #MicrosoftAI Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Location: Bengaluru, KA, IN Company: ExxonMobil About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can work together . What role you will play in our team At ExxonMobil's Technology and Engineering Company as a planning and scheduling optimization engineer. Become part of an interdisciplinary team to develop, deploy and sustain planning and scheduling applications for the global Refining and Chemicals businesses. In this role you will hone your skills in one or more manufacturing and supply logistics planning and scheduling optimization technologies. You will work to apply optimization and simulation utilizing commercial and proprietary modeling approaches, contribute to R&D initiatives and develop next generation solution techniques focused on value generation. What you will do Develop, deploy, and commission offline optimization applications Provide specialist application consulting and technical support to affiliates worldwide for new and deployed applications, including model troubleshooting and assistance with model convergence, model and economic information updates, and interpreting optimization Provide technical leadership through technical training, work process reviews and best practice implementations Closely work with manufacturing sites, process engineering, business stakeholders & business support functions to identify new opportunities, define the scope, cost, benefits and project schedule for new as well as revamped applications Support R&D activities in modeling, offline optimization and overlapping technologies Position could require 5-10% travel (domestic and/or international) About You Skills and Qualifications Bachelor’s Degree in Data Analytics, Data Science, Operations Research, Computer Science, Math, or related fields or MS in an engineering discipline (Chemical Engineering or Chemistry only) will be considered & are encouraged to apply Minimum 3 years of experience required in with commercial data science/econometrics/time series forecasting/supply chain analytics Industrial experience in Planning and/or Scheduling optimization Experience in hydrocarbon processing or supply chain optimization, ideally within Refining or PetroChemicals organisations. Preference given to those with experience in commercial modeling / optimization platforms such as AspenTech PIMS, AspenTech ORION / APS, AIMMS, Spiral CrudeSuite, Spiral Plan and Schedule etc. Advanced MS Excel Macro development, Python, MS SQL, Javascript/JSON, API programming. Preferred Qualifications / Experience Ability to demonstrate initiative, teamwork, accuracy, effectiveness, and self-confidence Demonstrations of leadership and mentoring abilities Understanding of key economic decisions in hydrocarbon processing supply chain is a plus Your benefits An ExxonMobil career is one designed to last. Our commitment to you runs deep our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you: Competitive compensation Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits Retirement benefits Global networking & cross-functional opportunities Annual vacations & holidays Day care assistance program Training and development program Tuition assistance program Workplace flexibility policy Relocation program Transportation facility Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company’s eligibility guidelines. Stay connected with us Learn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India . Follow us on LinkedIn and ExxonMobil (@exxonmobil) • Instagram photos and videos Like us on Facebook Subscribe our channel at YouTube EEO Statement ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status. Business solicitation and recruiting scams ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil. Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships. Job Segment: Sustainability, Scheduler, Technical Support, Manufacturing Engineer, Energy, Administrative, Technology, Engineering, Research

Applied Scientist II Bangalore, Karnataka, India Date posted Jun 01, 2025 Job number 1827424 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Applied Sciences Employment type Full-Time Overview We are the computational advertising team in the Microsoft AI organization at Microsoft. We are looking for candidates with research and applied experience in machine learning related areas. Search advertising is a $100 billion market worldwide. Microsoft's Bing search engine supports over 30% of desktop search in the US, with similarly significant presence in many other countries. We are a team of applied scientists working on machine learning components in the whole sponsored search stack. Our team works on problems related to machine learning, deep learning, natural language processing, image understanding, optimization, information retrieval, among others. Our work entails building large-scale machine learning systems for user response modelling, ranking, and a number of other ML-driven business problems. The Applied Scientist II will design, implement, analyze, tune complex algorithms and ML systems and the supporting infrastructure for operating on large datasets. They will collaborate with top machine learning scientists and engineers in delivering direct business impact. We're looking for sound understanding and insight into productionizing machine learning models in large-scale systems, an ability to pick up new technical areas, as well as a commitment to developing, delivering, and supporting algorithms in production Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience. Solid understanding of probability, statistics, machine learning, data science, A/B testing & analysis of ML models, and optimizing models for accuracy. Experience with end-to-end system design: data analysis, feature engineering, technique selection & implementation, debugging, and maintenance in production. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: Experience with Hadoop, Spark, or other distributed computing systems for large-scale training & prediction with ML models. Experience implementing machine learning algorithms or research papers from scratch. Experience with TensorFlow/PyTorch and deep learning models. #MicrosoftAI Responsibilities Design and develop large scale online and offline platform tools for Ads related products. Develop novel algorithms in the space of sponsored search to constantly improve the operational efficacy and monetization impact to stake holders . Architect new designs and develop features for cloud-based applications. Analyze Giga/Tera bytes of logs and create observation/opportunities and avenues of improvements in the system. Ideate on newer aspects of advertising avenues and augment the platform with richer products for the stake holders. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Senior Applied Scientist Noida, Uttar Pradesh, India Date posted May 16, 2025 Job number 1820087 Work site Microsoft on-site only Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Applied Sciences Employment type Full-Time Overview PowerPoint is more than just software - it’s the world’s go-to tool for turning ideas into compelling stories. PowerPoint transforms thoughts into visual stories, enabling millions of users to share knowledge via rich presentations. PowerPoint team is reimagining visual storytelling by harnessing the power of Large Language Models (LLMs) and Agentic AI to create smarter, more dynamic presentation experiences. We are looking for an individual who has expertise in working with Large Language models (LLMs) and has designed scalable systems using LLMs. As a Senior Applied Scientist you will need to design and build systems that allow LLMs to reason over large amounts of data as well as fine tune LLMs and Small Language Models (SLMs). By leveraging the power of generative AI, you’ll help shape the future of PowerPoint by tackling the complex challenges of content, layout and visual storytelling. Your work will enable intelligent features that simplify presentation creation while enhancing creativity. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical OR Computer Engineering, OR related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 4+ years of experience with design, implementation, debugging and testing of complex distributed services. Demonstrated experience working with Large Language Models and prompt engineering. Preferred Qualifications: Master’s Degree in Computer Science, Mathematics, Physics, Electrical Engineering, or equivalent. 5+ years using ML tools like Pytorch, TensorFlow or other frameworks and libraries for developing and deploying generative AI models Practical experience developing applications using prompt engineering, fine tuning, Open AI or Azure Open AI APIs. 3+ years experience developing and deploying live production systems, as part of a product team coding in C++, C#, C, Java or Python. 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping. Responsibilities Research and Development: Research and develop an understanding of the state-of-the-art tools, technologies, and methods being used in the research community and product groups. Design and develop fundamental technologies and drive the applied research to enable better search experiences for consumers and enterprise alike. Project Management: Drive projects from design through implementation, experimentation, and finally shipping to our users. Own development of state-of-the-art machine learning, deep learning algorithms and techniques leveraging text, images, and video for analyzing and transforming content to build world-class search and information retrieval products. Collaboration : Work in a diverse geographically distributed team environment where collaboration and innovation are valued. Collaborate with stakeholders to define project goals, success criteria, and deliverables. Innovation: Stay abreast of the latest research and trends in generative AI, natural language processing, and related fields, and explore new opportunities and challenges for Microsoft Office. Lead the team to continuously improve the recall and precision of bot detection by using new signals and algorithms. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

We are the computational advertising team in the Microsoft AI organization at Microsoft. We are looking for candidates with research and applied experience in machine learning related areas. Search advertising is a $100 billion market worldwide. Microsoft's Bing search engine supports over 30% of desktop search in the US, with similarly significant presence in many other countries. We are a team of applied scientists working on machine learning components in the whole sponsored search stack. Our team works on problems related to machine learning, deep learning, natural language processing, image understanding, optimization, information retrieval, among others. Our work entails building large-scale machine learning systems for user response modelling, ranking, and a number of other ML-driven business problems. The Applied Scientist II will design, implement, analyze, tune complex algorithms and ML systems and the supporting infrastructure for operating on large datasets. They will collaborate with top machine learning scientists and engineers in delivering direct business impact. We're looking for sound understanding and insight into productionizing machine learning models in large-scale systems, an ability to pick up new technical areas, as well as a commitment to developing, delivering, and supporting algorithms in production Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Design and develop large scale online and offline platform tools for Ads related products. Develop novel algorithms in the space of sponsored search to constantly improve the operational efficacy and monetization impact to stake holders . Architect new designs and develop features for cloud-based applications. Analyze Giga/Tera bytes of logs and create observation/opportunities and avenues of improvements in the system. Ideate on newer aspects of advertising avenues and augment the platform with richer products for the stake holders. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience. Solid understanding of probability, statistics, machine learning, data science, A/B testing & analysis of ML models, and optimizing models for accuracy. Experience with end-to-end system design: data analysis, feature engineering, technique selection & implementation, debugging, and maintenance in production. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications Experience with Hadoop, Spark, or other distributed computing systems for large-scale training & prediction with ML models. Experience implementing machine learning algorithms or research papers from scratch. Experience with TensorFlow/PyTorch and deep learning models. #MicrosoftAI Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. Show more Show less

Key Objectives of the Job To provide methodological, research and evidence-based support to Arpan's Research and Programme evaluation design, implementation, analysis, reporting, and dissemination Major Deliverables Lead and manage assigned internal and external research projects and evaluation independently Design and pilot quantitative, qualitative and mixed method surveys in collaboration with other teams. Conduct advanced data analysis using statistical software packages of programme and research data to inform programme design, implementation and strategy. Engage with external research agencies to ensure conduct of quality research and follow ethical protocols. Perform data quality checks for internal and external research projects. Write high quality reports and review internal and external stakeholders’ reports. Conduct literature reviews and keep abreast of findings from relevant research. Ensure preparation, maintenance and updation of Arpan's research knowledge databases. Undertake other administrative duties related to research projects, such as participating in internal meetings, arranging and coordinating dissemination of research reports, and maintaining research documents. Develop and support research and evaluation strategies of programmes as per the organization’s calendar of activities. Job Challenge Managing both internal and external research projects simultaneously while ensuring quality and timeliness can be challenging. Ensuring accuracy and reliability of data from multiple sources, especially when working with external agencies or large-scale surveys. Conducting advanced data analysis and deriving meaningful insights, particularly when dealing with complex datasets. Ensuring external research partners adhere to high-quality standards, timelines, and ethical protocols. Coordinating with programme, communications, and M&E teams to align research with organizational goals while managing differing expectations. Maintaining ethical research standards, obtaining necessary approvals, and ensuring compliance with protocols, especially in sensitive topics like child protection. Specialized job competencies Demonstrated experience on quantitative methodologies and data analysis using statistical tools (SPSS, STATA, R, NVivo, Survey CTO etc.) is a must. Experience in experimental / quasi-experimental research studies (e.g. RCT, RDD, PSM designs) would be an advantage. Hands-on experience of overseeing primary data collection, ensuring ethical considerations and child protection protocols. Ability to communicate technical topics to internal and external audiences in clear, simple and compelling manner - both verbally and in writing. Interpret research findings to inform program strategies, training modules, and government partnership, fundraising efforts. Team and Project Management Skills Educational Qualification Masters' degree in any developmental, statistical, population studies, with graduate-level coursework on statistics, econometrics, impact evaluation, and economic development. Desired Experience Minimum 4 to 5 years of experience in quantitative research in development sector. Prefer candidates with exposure to child protection, child sexual abuse and/or similar areas of work. Other desired attributes Experience conducting literature searches (e.g. through Google Scholar alerts, research circulars, etc) and summarizing complex academic papers and non-academic reports into key findings/talking points in straightforward, non-technical language. Predict and oversee risks and deliver on time and to budget. Strong power point presentation skills is a requisite. Location Mumbai Salary range As per market standards Show more Show less

Designation: Quantitative Economics Faculty The faculty will be responsible for teaching students preparing for various entrance exams/ competitive economics exams, preparing study material, making question papers, and any other work of similar nature assigned by the company. The subject knowledge in Econometrics , Statistical Economics, Quantitative economics, etc., and various competitive examinations. Key Responsibilities: 1. Instruction Delivery: Deliver engaging and interactive lectures, presentations, and discussions on various topics in economics, such as microeconomics, macroeconomics, econometrics, and economic theory. Utilize effective teaching methodologies and strategies to enhance student learning and comprehension. 2. Academic Support: Assist students in understanding complex economic theories, principles, and applications through individualized guidance and mentoring. Address student queries, provide clarification, and offer additional resources to support their learning needs. Essential Requirement: 1. Must have appeared/qualified in UGC NET in economics or have given any MA entrance exam and cleared it. 2. Proficiency in instructional design and delivery methods(content delivery). 3. Faculty who have appeared for the IES(Indian Economics Services) Exam will given preference. Type: Work from Home Work type: Full time / Part time / Per hour Show more Show less

Designation: Economics Current Affairs Faculty The faculty will be responsible for teaching students preparing for various entrance exams/ competitive economics exams, preparing study material, making question papers, and any other work of similar nature assigned by the company. Key Responsibilities: 1. Instruction Delivery: Deliver engaging and interactive lectures, presentations, and discussions on various topics in economics, such as microeconomics, macroeconomics, econometrics, and economic theory. Utilize effective teaching methodologies and strategies to enhance student learning and comprehension. 2. Academic Support: Assist students in understanding complex economic theories, principles, and applications through individualized guidance and mentoring. Address student queries, provide clarification, and offer additional resources to support their learning needs. Essential Requirement: 1. Must have appeared/qualified in UGC NET in economics or have given any MA entrance exam and cleared it. 2. Proficiency in instructional design and delivery methods(content delivery). 3. Faculty who have appeared for the IES(Indian Economics Services) Exam will given preference. *Must have Access to digital smartboard* Type: Work from Home Work type: Full time / Part time / Per hour Show more Show less

About us Bain & Company is a global management consulting that helps the world’s most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services. Who you will work with Bain & Company is the leading consulting partner to the private equity industry and its stakeholders. PEG (Private Equity Group) in Bain provides comprehensive advisory services to investors across the entire investment lifecycle. PEG expertise spans from pre-investment strategy and due diligence to post-acquisition value creation and portfolio management. PIT is a specialized division dedicated to supporting the private equity sector and its stakeholders. A key area of focus is harnessing Generative AI to develop innovative solutions that streamline due diligence, automate processes, and enable data-driven decision-making. By integrating expertise in due diligence, operational improvement, and cutting-edge technologies like Generative AI, PIT empowers private equity clients to achieve superior returns and maintain a competitive edge in the market. What you’ll do This is an opportunity to be a part of BCN Data business expanding science capability area. This position will be part of the PIT (PEG Innovation Team) Product Support: The team will primarily support the Beta production of AI applications for PEG (Private Equity Group) as part of Bain’s DD2030 (Due Diligence 2030) initiative. Generative AI Focus: A significant portion of the work is expected to relate to Generative AI applications, pushing the boundaries of innovation in the private equity space. Broader Automation: The role may also include contributing to broader PIT automation initiatives aimed at streamlining processes and enhancing efficiency across various investment lifecycle stages. The person in this role will need to: Translate business objectives into data and analytics solutions and, translate results into business insights using appropriate data engineering, analytics, visualization & Gen AI applications Leverage Gen AI skills to design and create repeatable analytical solutions to improve data quality Design, build, and deploy machine learning models using Scikit-Learn for various predictive analytics tasks. Implement and fine-tune NLP models with Hugging Face to address complex language processing challenges Collaborate with engineering team members on design requirements to turn PoC methods into repeatable data pipelines; work with Practice team to develop repeatable and scalable products Assist with creation and documentation of standard operating procedures for repeated data processes, as well as knowledge base of data methods Keep abreast of new developments in AI/ML technologies and best practices in data science, particularly in LLMs and generative AI. About you A Bachelor’s or Master’s degree in in Computer Science, Artificial Intelligence, Applied Mathematics, Econometrics, Statistics, Physics, Market Research, or related field is preferred 3-5 years of experience with data science & data engineering with Hands-on experience with AI/GenAI tools such as Scikit-Learn, LangChain, and Hugging Face Experience designing and developing RESTful and GraphQL APIs to facilitate data access and integration. Proficiency with data wrangling in either R or Python is required Proficiency in SQL is required, and familiarity with NoSQL data stores is a plus Familiarity with MLOps practices for model lifecycle management Experience with Git and modern software development workflow is a plus Experience with containerization such as Docker/ Kubernetes is a plus Agile way of working and tools (Jira, Confluence, Miro) Strong interpersonal and communication skills are a must. Experience with Micrsoft Office suite (Word, Excel, PowerPoint, Teams) is preferred Ability to explain and discuss Gen AI and Data Engineering technicalities to a business audience. What makes us a great place to work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents. Show more Show less

Company Profile: Bain & Company is one of the top management consulting firms in the world. In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center in Gurugram, now renamed as Bain Capability Network (BCN). The BCN plays a critical role in supporting Bain's case teams and initiatives globally to help with analytics and research across all industries and capabilities. Team Summary: This position is based in BCN's Gurgaon office and is a vital part of the Data and Technology team. The Benchmarking team, part of the Data & Insights Industries CoE, plays a critical role in advancing Bain's expertise in the consumer products sector. Our team is responsible for building and maintaining comprehensive databases that capture key industry benchmarks and performance metrics. These data assets empower Bain's consultants to deliver unparalleled insights and drive value for clients in the consumer products industry. By staying ahead of industry trends and leveraging advanced data analytics, the Consumer Products Benchmarking team supports Bain’s commitment to delivering top-tier strategic guidance to its clients. Over time, we have developed seamless solutions and utilize powerful, dynamic visualizations and charts on various platforms to showcase our results. A key arm of the team is also involved in creating critical intellectual property (IP) that is valuable for new CPG cases globally at Bain. Position Summary: The person in this role will need to: Translate business objectives into data and analytics solutions and translate results into business insights using appropriate data engineering, analytics, visualization & Gen AI applications Leverage Gen AI skills to design and create repeatable analytical solutions to improve data quality Design, build, and deploy machine learning models using Scikit-Learn for various predictive analytics tasks. Implement and fine-tune NLP models with Hugging Face to address complex language processing challenges Collaborate with engineering team members on design requirements to turn PoC methods into repeatable data pipelines; work with Practice team to develop repeatable and scalable products Assist with creation and documentation of standard operating procedures for repeated data processes, as well as knowledge base of data methods Keep abreast of new developments in AI/ML technologies and best practices in data science, particularly in LLMs and generative AI. Will be a technical lead and might lead a small team, and manage their day-to-day activities and provide status update to PIT Required Experience: A Bachelor’s or Master’s degree in in Computer Science, Artificial Intelligence, Applied Mathematics, Econometrics, Statistics, Physics, Market Research, or related field is preferred 3+ years of experience with data science & data engineering with Hands-on experience with AI/GenAI tools Experience designing and developing RESTful and GraphQL APIs to facilitate data access and integration. Proficiency with data wrangling in either R or Python is required Familiarity with MLOps practices for model lifecycle management Experience with Git and modern software development workflow is a plus Experience with containerization such as Docker/ Kubernetes is a plus Agile way of working and tools (Jira, Confluence, Miro) Strong interpersonal and communication skills are a must Experience with Microsoft Office suite (Word, Excel, PowerPoint, Teams) is preferred Ability to explain and discuss Gen AI and Data Engineering technicalities to a business audience Show more Show less

About us Bain & Company is a global management consulting firm that helps the world’s most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services. Who you will work with This role is based out of the Visualizations CoE – Transformation & Change team, which sits under the broader “Data & Tech” cluster at the BCN. We work closely with global Bain case teams, product teams and end-clients providing them data analytics and business intelligence support using advanced data analysis and visualization tools (e.g., PowerBI, SQL, Python, Azure, AWS, Tableau, Alteryx, etc.). The Custom Reporting team here is responsible for developing highly functional custom PowerBI reports for the ARC tool - Bain's state-of-the-art transformation management tool - to help Bain clients track progress on different transformation workstreams.. What you’ll do Work with Bain teams as an expert on specific tools, such as Microsoft power platforms (PowerBI, PowerAutomate), SQL, Alteryx and Python to design and deliver impactful business intelligence tools or dashboards Develop understanding about the ARC tool and the data fields contained within Work closely with the case team/end-client/ ARC Customer Success team to understand the requirements, build proof of concepts and draw roadmap for output delivery with clear milestones Work under the guidance of a Senior Associate/ Team Manager, playing a key role in driving the team’s overall answer and final materials, client communication, work planning, and team management Gather requirements and business process knowledge in order to transform the data in a way that is geared towards the needs of end-users. Responsible for end-to-end handling of the entire process, i.e., requirement gathering, data cleaning, processing, visualization and deployment Apply knowledge of data warehousing and visualization to prepare dataflows using SQL, and then developing dashboards using PowerBI, to support case teams with analysis of KPIs and development of commercial dashboards Lead the design, development, and deployment of Power BI dashboards that deliver intuitive, high-performance data visualizations. You'll create complex data models and write optimized DAX formulas to support self-service reporting and in-depth analysis Automate workflows with Power Automate, allowing seamless integration between different applications, data sources, and business processes Solve complex custom visualization and analysis issues, providing thought leadership and business judgment Brainstorm any possible roadblocks with the team, providing thought leadership and business judgment Participate in case team calls and effectively communicate data, knowledge, insights and actionable next steps to the case team; relay implications to his/her own internal team About you Candidate should be a Graduate from a Top-tier College with strong academic records, and with 1 year of relevant work experience in areas related to Data Management, Business Intelligence or Business Analytics. Concentration in a quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, Econometrics, Business Analytics, or Market Research is strongly preferred Minimum 1 year of experience in data preparation and visualization using tools such as Microsoft Power BI and SQL Extensive experience in developing Power BI reports and dashboards, with a focus on data modeling, report performance optimization, and creating interactive visualizations Experience in developing custom Power Apps applications is a plus, along with knowledge of Alteryx and Python Competent with PowerBI Desktop, Gateway, Service and Report Server tools; good understanding of Power Query M-code and hands-on experience in building sophisticated DAX queries What makes us a great place to work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents.. Show more Show less

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Job Title: Senior Manager, Data Science - Contact Centre as a Service (CCaaS) Position: Senior Manager (CCaaS) Industry: Digital Contact Solutions (DCS), Telecommunications-Media-Technology (TMT), Health Industries (Payers, Providers, Life Sciences), BFS&I, RTH. Domain: Data Science - Contact Centre as a Service (CCaaS) About Acceleration Center Bangalore At PwC, we connect people with diverse backgrounds and skill sets to solve important problems together and lead with purpose—for our clients, our communities and for the world at large. It is no surprise therefore that 429 of 500 Fortune global companies engage with PwC. Acceleration Centers (ACs) are PwC’s diverse, global talent hubs focused on enabling growth for the organization and value creation for our clients.The PwC Advisory Acceleration Center in Bangalore is part of our Advisory business in the US. The team is focused on developing a broader portfolio with solutions for Risk Consulting, Management Consulting, Technology Consulting, Strategy Consulting, Forensics and vertical specific solutions. PwC's high-performance culture is based on passion for excellence with a focus on diversity and inclusion. You will collaborate with and receive support from a network of people to achieve your goals. We will also provide you with global leadership development frameworks and the latest in digital technologies to learn and excel in your career. At the core of our firm's philosophy is a simple construct: We care for our people. Globally PwC is ranked the 3rd most attractive employer according to Universum. Our commitment to Responsible Business Leadership, Diversity & Inclusion, work-life flexibility, career coaching and learning & development makes our firm one of the best places to work, learn and excel We are looking for CCaaS Development Manager with a strong Contact Centre Application Development & solution design background (and overall professional experience of 10+ years) to work in our Cloud & Digital practice in Mumbai, Bangalore. The Manager will work as an integral part of business analytics & transformation teams in India alongside clients and consultants in the U.S., being integral to high-end CCaaS consulting engagements, presales and development expertise. Education: Advanced Degree in a quantitative discipline such as Computer Science, Engineering, Econometrics, Statistics or Information Sciences such as business analytics or informatics Required Skills: Successful candidates will have demonstrated the following skills and characteristics: Must Have Internal & External stakeholder management Forecast & define project milestones/timelines Familiar on estimation models (Fixed Bid, T&M) Familiarity with the CCaaS domain,CCaaS Application Development , contact center solution design. In-depth knowledge of CCaaS platforms like MS DCCP, Amazon Connect , NICECXOne, Genesys Cloud , Cisco Webex CC, Cisco HCS, UCCE/PCCE etc., including their architecture, functionalities, and application development, integration capabilities Governance & communication skills Hands-on configuration of CCaaS platform (MS DCCP, Amazon Connect/ Genesys Cloud/NICE CXOne) includes, Implementation of Contact Centre platforms Instance creation & setup Configuration Application Development CCaaS integration with CRM , ITSM & other host application SIP Trunking Understanding of the fundamental ingredients of enterprise integration including interface definitions and contracts; REST APIs or SOAP web services; SQL,MY SQL, Oracle , PostgreSQL , Dynamo DB, S3, RDS Provide effective real time demonstrations of CCaaS & AI (Bots) platforms Work on high volume presales consulting engagements including solution design document definition, commercial construct (CCaaS) High proficiency in defining top notch customer facing slides/presentations Proficiency in data visualization tools like Tableau, Power BI, Quicksight and others Nice To Have Experience in CPaaS platforms (Twilio, Infobip) for synergies between Communication Platform As A Service & Contact Center As a Service Understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and their services for scalable data storage, processing, and analytics Work on high velocity Presales solution consulting engagements (RFP, RFI, RFQ) Define industry specific use cases (BFS & I, Telecom, Retail, Manlog etc) Defining Business Case Roles And Responsibilities Stakeholder management Architectural design (CCaaS) CCaaS Application Development (Build & Deploy) Build CCaaS & Conversational AI demonstrations & Proof of Concepts to customers/prospects Develop and execute on project & analysis plans under the guidance of project manager Ability to write and deploy production ready code CI CD – Git Repo, Git labs, AWS Pipeline , Azure Devops (any of these) Validate analysis outcomes, recommendations with all stakeholders including the client team Governance & Steerco Collaborate with internal cross functional teams & leadership during sales , preslaes & delivery engagements Build storylines and make presentations to the client team and/or PwC project leadership team Contribute to the knowledge and firm building activities CCaaS Domain Expertise Understanding of the Contact Centre as a Service domain Proficiency with CCaaS platforms (Genesys Cloud, Amazon Connect, Cisco Webex CC, Cisco UCCE,PCCE, NICE CXOne, Calibrio, Verint, Genesys Engage) Stay up to date with industry trends, best practices, and emerging technologies related to CCaaS and conversational AI. Design & develop Omni-Channel customer experience solutions (Conversational IVR, Chat Bots, Messaging Bots(WhatsApp, Fb, X) , Voice Bots, Email, Chat & SMS Proficient with CCaaS platform features, license types Instance creation & setup of CCaaS platforms in PwC local lab environments, for production setup for customers Proficient in establishing and managing (CCaaS) communications via (VoIP) with SIP trunking Proficient in automating CCaaS deployments through telephony Continuous Integration/Continuous Deployment (CI/CD) practices and outreach strategies Knowledge to integrate telephony and computer systems in contact centers, leveraging Computer Telephony Integration Extensive knowledge of ACD (Automatic Call Distribution) systems Experience in IVR systems with automated menus and performing self-service actions Experience in call recording and quality monitoring Experience in Workforce Management (WFM) systems for optimizing contact center operations through call volume forecasting, agent scheduling, and schedule adherence monitoring(Genesys WFO, Verint WFO & Calabrio WFO) Proficiency in speech analytics, including sentiment analysis, keyword spotting, and voice biometrics Proficient in real-time analytics to track metrics, and make data-driven decisions on agent allocation, call routing, and service level management Expertise to integrate contact center system with CRM platforms Proficiency in API integrations between CCaaS platform with external systems Expertise in security and compliance standards for handling customer data handling Expertise in multi-channel communications to integrate voice, chat, email, and social media within the CCaaS environment Application integration between CCaaS platforms & Conversational AI platforms (Chat Bot, Messaging Bots & Voice Bots) for GET/POST of data Capability to design end to end CCaaS solution aspects including SIP , Network, CCaaS Application Development Local Telco approved, regulatory / compliant solution design (to deliver CCaaS solution to customers) Global SIP coverage across geos (TFN, ITFN, DID,UIFN) Understanding of networking terminologies in CCaaS (underlay,overlay design) MPLS,SDWAN/Internet Router (CPE) models, configurations BYOC , SBC/Media Gateways setup & configurations (Audiocodes, Ribbon, SONUS) What We Offer At PwC, we care for the mental & physical wellbeing of our people and respect the flexibility that is needed in these difficult times. Keeping these factors in mind, we have introduced policies around Work-from-Home. Anywhere and flexible working hours. Mid-year appraisal cycle to reward performance on time Opportunities to solve problems which matter to our clients and have a strong, long-lasting impacts Continuous learning and upskilling opportunities nurturing you to become a better leader and consultant of tomorrow. We provide you access to Massive Online Open Courses (MOOC) at no cost. A world class leadership to guide you on gaining expertise across various functions and a top notch diverse peer group to support you throughout the journey Interaction with the senior client leadership and a chance to meet them in person by visiting client locations (as needed) and/or permanent relocation Show more Show less