2210 Clustering Jobs - Page 38

Relocation Assistance Offered Within Country Job Number #167667 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Title: Senior Specialist, Global Data Science Brief introduction - Role Summary/Purpose: The GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical in Colgate Palmolive is focused on working on business cases which have a big $ impact for the business addressing the business questions, with recommended actions and scope for scalability across markets. The Data Scientist position would lead GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects within the Analytics Continuum. The position conceptualizes and builds machine learning, predictive modeling, simulations, and optimization solutions for clear dollar objectives and measured value for Colgate Palmolive The role would require, to work on a range of GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects across Revenue Growth Management, Price Elasticity, Promotion Analytics, Marketing Mix Modeling Data Scientist needs to manage relationships independently with Business and stakeholders to drive projects Responsibilities: Conceptualizes and builds predictive modeling, simulations, and optimization solutions to address business questions or use cases Applies ML and AI to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business Develops end to end business solutions from data extraction, data preparation, data mining to statistical modeling and then building business presentations Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built Deploys models using Airflow, Docker on Google Cloud Platforms Own Pricing and Promotion, Marketing Mix from scoping to delivery Study large amounts of data to discover trends and patterns Mine data through various technologies like BigQuery and SQL Present insights in an easy to interpret way to the business teams Develop visualization (e.g. Looker, PyDash, Flask, PlotLy, streamlit) using large datasets and model output datasets Ready to work closely with business partners across geographies Required Qualifications: BE/BTECH [ Computer Science, Information Technology is preferred ], MBA or PGDM in Business Analytics / Data Science, Additional DS Certifications or Courses, MSC / MSTAT in Economics or Statistics 5+ years of experience in building statistical models and driving insights Hands-on/experience on developing statistical models, such as linear regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering, Bayesian Regression etc. Hands on experience on coding languages Python(mandatory) and SQL Knowledge of using GitHub, Airflow for coding and model deployments Understand visualization frameworks PyDash, Flask, PlotLy Strong Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build Cloud Run. Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment Preferred Qualifications: Managing, transforming, and developing statistical models for RGM/Pricing and/or Marketing Mix Models Experience with third-party data i.e., syndicated market data, Point of Sales, etc. Working knowledge of consumer packaged goods industry Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of Google Cloud products (BigQuery, data studio, kubernetes, cloud build, cloud run etc) Knowledge of deployment of models in Cloud Environment using Airflow, Docker Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.

Relocation Assistance Offered Within Country Job Number #167669 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Title: Senior Data Scientist, Global Data Science Brief introduction - Role Summary/Purpose (3-4 sentences max.): The GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical in Colgate Palmolive is focused on working on business cases which have a big $ impact for the business addressing the business questions, with recommended actions and scope for scalability across markets. The Data Scientist position would lead GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects within the Analytics Continuum. The position conceptualizes and builds machine learning, predictive modeling, simulations, and optimization solutions for clear dollar objectives and measured value for Colgate Palmolive The role would require, to work on a range of GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects across Revenue Growth Management, Price Elasticity, Promotion Analytics, Marketing Mix Modeling Data Scientist needs to manage relationships independently with Business and stakeholders to drive projects Responsibilities (4-6 bullet points): Conceptualizes and builds predictive modeling, simulations, and optimization solutions to address business questions or use cases Applies ML and AI to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business Develops end to end business solutions from data extraction, data preparation, data mining to statistical modeling and then building business presentations Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built Deploys models using Airflow, Docker on Google Cloud Platforms Own Pricing and Promotion, Marketing Mix from scoping to delivery Study large amounts of data to discover trends and patterns Mine data through various technologies like BigQuery and SQL Present insights in an easy to interpret way to the business teams Develop visualization (e.g. Looker, PyDash, Flask, PlotLy, streamlit) using large datasets and model output datasets Ready to work closely with business partners across geographies Required Qualifications (3-5 bullet points): BE/BTECH [ Computer Science, Information Technology is preferred ], MBA or PGDM in Business Analytics / Data Science, Additional DS Certifications or Courses, MSC / MSTAT in Economics or Statistics 5+ years of experience in building statistical models and driving insights Hands-on/experience on developing statistical models, such as linear regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering, Bayesian Regression etc. Hands on experience on coding languages Python(mandatory) and SQL Knowledge of using GitHub, Airflow for coding and model deployments Understand visualization frameworks PyDash, Flask, PlotLy Strong Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build Cloud Run. Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment Preferred Qualifications (3-5 bullet points): Managing, transforming, and developing statistical models for RGM/Pricing and/or Marketing Mix Models Experience with third-party data i.e., syndicated market data, Point of Sales, etc. Working knowledge of consumer packaged goods industry Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of Google Cloud products (BigQuery, data studio, kubernetes, cloud build, cloud run etc) Knowledge of deployment of models in Cloud Environment using Airflow, Docker Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.

About the Role: Wells Fargo is seeking a Lead Risk analytics consultant. The Consumer Credit team is responsible for leading, developing and implementing strategic initiatives and processes to drive the company credit culture, appetite, and business performance. The team is seeking a talented and experienced Lead Risk Consultant to be part of the Auto Lending Credit Risk team. The candidate would be part of the Auto Lending Analytics team and would provide analytical support across a wide array of process or life cycle including but not limited to originations, collections, payments, deferrals, delinquency and related operational processes. Primary role is to apply strong business knowledge and advanced analytical skills to solve business questions, think out-side-of-the-box and develop innovative yet practical risk management solutions. An individual who is results driven, goal oriented, and enjoys a fast-paced working environment will find this opportunity both challenging and exciting. In this role, you will: Lead complex initiatives related to business analysis and modeling, including those that are cross functional, with broad impact, and act as key participant in data aggregation, monitoring, and reporting of stress testing and portfolio analysis for Risk Analytics Review and analyze complex programing models to extract data and manipulate databases to provide statistical and financial modeling specific to businesses supported Manage the roll out of pilot programs developed as a result of programmed models for supported businesses and product line Make decisions in complex product strategies, data modeling, and risk exposure, requiring solid understanding of business unit projects and regulatory responses, policies, procedures, and compliance requirements that influence and lead Analytic and Reporting to meet deliverables and drive new initiatives Collaborate and consult with peers, less experienced to more experienced managers, to resolve production, project, and regulatory issues, and achieve risk analysts, and common modeling goals Lead projects, teams, and mentor Required Qualifications: 5+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Bachelor's degree or higher in a quantitative field such as applied mathematics, statistics, engineering, finance, economics, econometrics or computer sciences 5+ years of progressive experience in credit and risk analytic roles Hands on Experience in at least one area in credit risk analytics - credit strategy / modeling techniques / Forecasting techniques / data architecture & management Detailed understanding of risk domain; Strong Risk analytics skills and understanding of P&L and risk drivers. Expertise in few programming and statistical packages - SAS, SQL, Excel, VBA, Macros, R, Python, E-miner, Tableau, SAS VA Knowledge of advanced statistical tools such as Segmentation Tools, Decision Trees, Clustering, Regression, and other statistical modeling and/or Machine Learning techniques Ability to lead project teams and coordinate with multiple stakeholders. Strong understanding and willingness to work hands on, using exploratory techniques which can sometimes involve advanced statistics. Excellent communication skills for interaction/coordination/project and skill prioritization with heads of functions Ability to identify and evaluate trends, isolate root cause, and provide swift/thorough resolution Advanced degree in statistics/finance /engineering/economics/other quantitative disciplines Knowledge and understanding of (consumer and small business loan) credit card lending practices, policies, procedures, and key drivers impacting credit offerings, including credit risks and regulatory requirements Strong analytical skills with ability to turn findings into executable plans to meet business objectives Ability to contribute to strategic decisions and coordinate with multiple stakeholders. Develop consensus and gain buy-in for strategic priorities Proficiency in Advanced SAS,SAS macros and SQL; Tableau or BI/automation tools Strong project management skills with ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment Strong ability to develop partnerships and collaborate with other business and functional area Job Expectations: The incumbent would functionally contribute as an SME to the Auto Lending Credit Risk team and execute relatively large and complex projects with moderate to high risk for the line of business. Leads significant initiatives and processes, and partners with line of business management to drive the company credit culture, appetite, and business performance with inputs from senior leadership. Advises and counsels leadership. Directs and coordinates the various activities related to assessing and predicting risk and performance through business analysis and/or modeling. Establishes effective policies, processes, and tools to identify and manage risks. Uses predictive sciences for developing future ready solutions. Develops comprehensive monitoring frameworks and dashboards and provide statistically sound diagnostic evaluation of any emerging or unexpected risk areas to enhance intelligence and facilitate faster decision making. Reports on asset quality (delinquency, loss rate), portfolio trends, credit policy exceptions across various credit, vintage, product, offer, channel, industry segments using visualization tools such as Excel VBA, Tableau and/or SAS Visual Analytics. Develops quantitative/qualitative tools and methodologies for forecasting losses in supporting portfolio planning, loan loss provisioning, or new account acquisitions. Develop, maintain, and enhance the complex programming to extract data and/or manipulate databases such as Oracle, Teradata to support LOB strategy. Perform complex data analysis to support data quality, data integrity control. Evaluate new data sources and attributes, internal and external from extensive case reviews. Analyze big data and understand / monitor trends to provide actionable insights across a range of risk analytics initiatives. Lead project teams and may mentor but does not manage other team members. To be effective in this position, you will need an excellent understanding of credit risk, a broad and strategic perspective on risk management, and be fluent in key technical tools of credit risk decisioning. Posting End Date: 25 Jun 2025 *Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants with Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo . Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment and Hiring Requirements: a. Third-Party recordings are prohibited unless authorized by Wells Fargo. b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

Senior Data Scientist Hyderabad, Telangana, India Date posted Jun 19, 2025 Job number 1823535 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 Are you a real Machine Learning enthusiast? Does the magic of the data world fascinate you? Here at Microsoft Search we have been working on Machine Learning much before it became cool to do so. Here we are solving real world problems to empower millions of people around the globe. Microsoft Search powers delightful and relevant experiences for enterprise users to cater to their overall information need. AI powered Copilots has made the future to be the current reality. We are looking for candidates who can help build the next generation Machine Learning system. Candidates are expected to be hands on and experienced on data mining, ranking, clustering, recommendation systems. As a Senior Data Scientist in the team, you will be working independently on challenging problems, define/measure success metrics for them, as well as contribute towards Design Reviews, ML/Data pipeline reviews for the whole team. 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 2+ year(s) 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 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techn OR Bachelor'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 tec OR equivalent experience. 2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience. Hands on experience of implementing and shipping production quality Machine Learning models or Data pipelines A minimum of Bachelor’s degree in Computer Science or related field Prior work/research experience in Search domain is preferable 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: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, OR related field AND 3+ 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, #M365CORE Responsibilities End to end ranking of search results. Large Language Models. AI powered Copilot scenarios. Compliance and Privacy aware Machine Learning training pipelines at scale. Personalization of search results. 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: IN_Gurgaon_Bldg # 10 DLF Cyber City_HCS Job Family: Engineering Worker Type Reference: Regular - Permanent Pay Rate Type: Salary Career Level: T4(B) Job ID: R-40836-2024 Description & Requirements Introduction: A Career at HARMAN - Harman Tech Solutions (HTS) We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN HTS, you solve challenges by creating innovative solutions. Combine the physical and digital, making technology a more dynamic force to solve challenges and serve humanity’s needs. Empower the company to create new digital business models, enter new markets, and improve customer experiences About the Role You will be responsible for driving the strategic direction of our AI and machine learning practice along with other key leaders. This role will involve leading internal AI/ML projects, shaping the technology roadmap, and overseeing client-facing projects including solution development, RFPs, presentations, analyst interactions, partnership development etc. The ideal candidate will have a strong technical background in AI/ML, exceptional leadership skills, and the ability to balance internal and external project demands effectively. In this strategic role, you will be responsible for shaping the future of AI/ML within our organization, driving innovation, and ensuring the successful implementation of AI/ML solutions that deliver tangible business outcomes. What You Will Do Drive Innovation, Differentiation & Growth Develop and implement a comprehensive AI/ML strategy aligned with our business goals and objectives. Ownership on growth of the COE and influencing client revenues through AI practice Identify and prioritize high-impact opportunities for applying AI/ML across various business units, departments and functions. Lead the selection, deployment, and management of AI/ML tools, platforms, and infrastructure. Oversee the design, development, and deployment of AI/ML solutions Define, differentiate & strategize new AI/ML services/offerings and create reference architecture assets Drive partnerships with vendors on collaboration, capability building, go to market strategies, etc. Guide and inspire the organization about the business potential and opportunities around AI/ML Network with domain experts Develop and implement ethical AI practices and governance standards. Monitor and measure the performance of AI/ML initiatives, demonstrating ROI through cost savings, efficiency gains, and improved business outcomes. Oversee the development, training, and deployment of AI/ML models and solutions. Collaborate with client teams to understand their business challenges and needs. Develop and propose AI/ML solutions tailored to client specific requirements. Influence client revenues through innovative solutions and thought leadership. Lead client engagements from project initiation to deployment. Build and maintain strong relationships with key clients and stakeholders. Build re-usable Methodologies, Pipelines & Models Create data pipelines for more efficient and repeatable data science projects Experience of working across multiple deployment environments including cloud, on-premises and hybrid, multiple operating systems and through containerization techniques such as Docker, Kubernetes, AWS Elastic Container Service, and others Coding knowledge and experience in languages including R, Python, Scala, MATLAB, etc. Experience with popular databases including SQL, MongoDB and Cassandra Experience data discovery/analysis platforms such as KNIME, RapidMiner, Alteryx, Dataiku, H2O, Microsoft AzureML, Amazon SageMaker etc. Expertise in solving problems related to computer vision, text analytics, predictive analytics, optimization, social network analysis etc. Experience with regression, random forest, boosting, trees, hierarchical clustering, transformers, convolutional neural network (CNN), recurrent neural network (RNN), graph analysis, etc. People & Interpersonal Skills Build and manage a high-performing team of AI/ML engineers, data scientists, and other specialists. Foster a culture of innovation and collaboration within the AI/ML team and across the organization. Demonstrate the ability to work in diverse, cross-functional teams in a dynamic business environment. Candidates should be confident, energetic self-starters, with strong communication skills. Candidates should exhibit superior presentation skills and the ability to present compelling solutions which guide and inspire. Provide technical guidance and mentorship to the AI/ML team Collaborate with other directors, managers, and stakeholders across the company to align the AI/ML vision and goals Communicate and present the AI/ML capabilities and achievements to clients and partners Stay updated on the latest trends and developments in the AI/ML domain What You Need 12+ years of experience in the information technology industry with strong focus on AI/ML having led, driven and set up an AI/ML practice in IT services or niche AI/ML organizations 10+ years of relevant experience in successfully launching, planning, and executing advanced data science projects. A master’s or PhD degree in computer science, data science, information systems, operations research, statistics, applied mathematics, economics, engineering, or physics. In depth specialization in text analytics, image recognition, graph analysis, deep learning, is required. The candidate should be adept in agile methodologies and well-versed in applying MLOps methods to the construction of ML pipelines. Candidate should have demonstrated the ability to manage data science projects and diverse teams. Should have experience in creating AI/ML strategies & services, and scale capabilities from a technology, platform, and people standpoint. Experience in working on proposals, presales activities, business development and overlooking delivery of AI/ML projects Experience in building solutions with AI/ML elements in any one or more domains – Industrial, Healthcare, Retail, Communication Be an accelerator to grow the practice through technologies, capabilities, and teams both organically as well as inorganically What We Offer Access to employee discounts on world class HARMAN/Samsung products (JBL, Harman Kardon, AKG etc.) Professional development opportunities through HARMAN University’s business and leadership academies. Flexible work schedule with a culture encouraging work life integration and collaboration in a global environment. An inclusive and diverse work environment that fosters and encourages professional and personal development. Tuition reimbursement. “Be Brilliant” employee recognition and rewards program. What Makes You Eligible Be willing to travel up to 25%, domestic and international travel if required. Successfully complete a background investigation as a condition of employment You Belong Here HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you – all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want. About HARMAN: Where Innovation Unleashes Next-Level Technology Ever since the 1920s, we’ve been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected. Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today’s most sought-after performers, while our digital transformation solutions serve humanity by addressing the world’s ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other. If you’re ready to innovate and do work that makes a lasting impact, join our talent community today! Important Notice: Recruitment Scams Please be aware that HARMAN recruiters will always communicate with you from an '@harman.com' email address. We will never ask for payments, banking, credit card, personal financial information or access to your LinkedIn/email account during the screening, interview, or recruitment process. If you are asked for such information or receive communication from an email address not ending in '@harman.com' about a job with HARMAN, please cease communication immediately and report the incident to us through: harmancareers@harman.com. HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP Plant Maintenance (PM) Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities: - Expected to be an SME - Collaborate and manage the team to perform - Responsible for team decisions - Engage with multiple teams and contribute to key decisions - Provide solutions to problems for their immediate team and across multiple teams - Lead the effort to design, build, and configure applications - Act as the primary point of contact for the project - Manage the team and ensure successful project delivery - Collaborate with multiple teams to make key decisions - Provide solutions to problems for the immediate team and across multiple teams Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Plant Maintenance (PM) - Strong understanding of statistical analysis and machine learning algorithms - Experience with data visualization tools such as Tableau or Power BI - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information: - The candidate should have a minimum of 5 years of experience in SAP Plant Maintenance (PM) - This position is based at our Gurugram office - A 15 years full-time education is required 15 years full time education

We’re reinventing the market research industry. Let’s reinvent it together. At Numerator, we believe tomorrow’s success starts with today’s market intelligence. We empower the world’s leading brands and retailers with unmatched insights into consumer behavior and the influencers that drive it. Responsibilities: Deliver complex analytics projects, providing data-driven insights to address critical business challenges by analyzing disaggregated data utilizing modeling, statistics, and machine learning. Work with diverse data sets to clean, manipulate, and analyze data using tools such as R, Python, and SQL Apply a range of statistical techniques and modeling processes to transactional and attitudinal data to help answer our clients’ business questions Develop expertise in all our analytical solutions, understanding their technical intricacies and their value to clients Share analytical best practices and insights across teams to foster alignment and continuous improvement and development of advanced analytical techniques Simplify and explain complex analytical concepts in a clear and concise manner, tailoring explanations to different audiences Support the continuous improvement and development of our advanced analytical techniques and how we run them Act as an analytical expert on projects, providing advice internally to ensure that our approaches and outputs remain best-in-class What You'll Bring to Numerator Requirements: Education: A university degree in a mathematical, scientific, or related discipline with a strong statistical component. A higher degree in a relevant field is preferred but not required Technical Skills: Proficiency in R and Git is essential. Knowledge of SAS, SQL, Python and Shiny are desirable. Analytical Mindset: Strong interest in understanding consumer behaviour and how brands can grow through data-driven insights. Strong analytical thinking ability Data Handling: Hands-on experience in working with large datasets, performing statistical analyses, running machine learning models, and visualizing results using the R ecosystem Industry Knowledge: Experience working with panel or survey data is an advantage but not mandatory Experience working with relevant modeling techniques - clustering techniques, regression, probability modeling, and others Highly collaborative and adaptable with the ability to work effectively within different cultural and technical environments Enjoys actively looking for new and more efficient ways of improving processes, raising standards, reducing errors, and overcoming omissions Critical thinking and genuine passion for consumer behaviour. Possesses outstanding communication and interpersonal skills to comfortably connect with partners at all levels across the organization and facilitates discussions in a constructive manner Fluency in spoken and written English is mandatory. Business fluency in French highly desirable. Show more Show less

Position General Duties and Tasks: Participate in research, design, implementation, and optimization of Machine learning Models Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products Understanding of Revenue Cycle Management processes like Claims filing and adjudication Hands on experience in Python Build data ingest and data transformation platform Identify transfer learning opportunities and new training datasets Build AI models from scratch and help product managers and stakeholders understand results Analysing the ML algorithms that could be used to solve a given problem and ranking them by their success probability Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Defining validation strategies Defining the pre-processing or feature engineering to be done on a given dataset Training models and tuning their hyperparameters Analysing the errors of the model and designing strategies to overcome them Deploying models to production Create APIs and help business customers put results of your AI models into operations JD Education Bachelor's in computer sciences or similar. Skills hands on programming experience working on enterprise products Demonstrated proficiency in multiple programming languages with a strong foundation in a statistical platform such as Python, R, SAS, or MatLab. Knowledge in Deep Learning/Machine learning, Artificial Intelligence Experience in building AI models using algorithms of Classification & Clustering techniques Expertise in visualizing and manipulating big datasets Strong in MS SQL Acumen to take a complex problem and break it down to workable pieces, to code a solution Excellent verbal and written communication skills Ability to work in and define a fast pace and team focused environment Proven record of delivering and completing assigned projects and initiatives Ability to deploy large scale solutions to an enterprise estate Strong interpersonal skills Understanding of Revenue Cycle Management processes like Claims filing and adjudication is a plus

Job Information Date Opened 06/12/2025 Job Location Noida Job Type Full time Industry IT Services Work Experience 1-5 years City Noida State/Province Uttar Pradesh Country India Zip/Postal Code 201301 About Us We are an IT Consulting & IT Services company with ISO 9001, 14001, 20001 27001 & Great Place to Work Certified. We at Quadrafort assist our customers in enhancing Productivity and Business efficiency achieved by our best-in-class Cloud Solutions and innovative 360° consulting services. We are a Technology Consulting services provider assisted by a team of certified technologists aided by domain experience & proficiency garnered across industries and business verticals. We endeavor to empower organizations in their digital transformation journey with the least disruption with emphasis on proper adoption, to aid in achieving complex business goals. We work across industries encompassing Manufacturing, Retail, Hi-Tech, IT, BFSI, Healthcare, Automobile and Media. Industry - IT Services and IT Consulting Job Description We are seeking a skilled and proactive MySQL Database Administrator (DBA) to manage and maintain our MySQL database systems. The ideal candidate will have strong experience with database performance tuning, replication, backup strategies, and security. You will work closely with developers, DevOps, and infrastructure teams to ensure high availability, scalability, and reliability of our data systems. Responsibilities: Install, configure, and maintain MySQL database servers. Ensure database availability, reliability, and performance. Implement and maintain backup and disaster recovery strategies. Monitor database performance and tune queries and server configurations for optimal performance. Set up and manage MySQL replication, clustering, and failover solutions. Perform regular database upgrades, patches, and security updates. Develop and maintain documentation of the database environment. Troubleshoot database issues and provide on-call support as needed. Implement data access controls and ensure compliance with security standards. Collaborate with software developers and DevOps teams on database design and optimization. Requirements Bachelor's degree in Computer Science, Information Technology, or a related field. 1 to 5 years of experience as a MySQL DBA in a production environment. Strong knowledge of MySQL 5.7/8.0, including InnoDB, replication, and performance tuning. Experience with backup tools (e.g., Percona XtraBackup, my sql dump) and disaster recovery planning. Proficient in writing complex SQL queries, procedures, and performance tuning. Familiarity with Linux/Unix environments and shell scripting. Experience with monitoring tools like Prometheus, Grafana, or MySQL Enterprise Monitor. Knowledge of high availability and load balancing strategies. Understanding of security best practices for databases.

Location: Flexible (remote/hybrid preferred) Role Overview: Your mission: build the foundation for market success by collecting, analyzing, and interpreting all available data on the beverage industry—covering non-alcoholic drinks, market trends, consumer behavior, supply dynamics, pricing patterns, and more. You’ll enable strategic decisions, identify opportunities, and steer product innovation before and during launch. Key Responsibilities: Data Acquisition & Integration Source and ingest structured and unstructured data: sales platforms, market-research databases (e.g., Nielsen, Beverage Digest), social media reviews, competitor pricing, industry reports, supply chain logs, IoT sensor feeds, and more builtin.com+2jobs.barry-callebaut.com+2reddit.com+2. Data Cleaning & Pre‑processing Ensure data quality—remove duplicates, normalize formats, handle missing values, and build robust pipelines for ongoing ingestion and transformation guvi.in. Exploratory Data Analysis (EDA) Explore and visualize industry trends, seasonality, consumer sentiment, price elasticity, shelf performance, etc., using statistical tools and visualization libraries . Model Development & Forecasting Build predictive and prescriptive models: demand forecasting, price optimization algorithms, churn prediction, market sizing, and trend projection arxiv.orgreddit.com+3builtin.com+3careers.beamsuntory.com+3. Sentiment and Text Analytics Analyze consumer reviews and feedback using NLP to gauge sentiment, preferences, emerging flavors, and satisfaction levels. Dashboarding & Reporting Create interactive dashboards (Power BI/Tableau/Looker) and reports summarizing market insights, forecasts, price trends, consumer preferences, and key KPIs reddit.com+2arxiv.org+2reddit.com+2. Strategic Insights & Stakeholder Engagement Translate technical analysis into actionable strategies for founders, marketers, operations, and product teams—e.g., market entry, pricing, promotion. Continuous Monitoring & Innovation Track consumer behavior and market shifts continuously; incorporate new analytical methods (e.g., machine vision, knowledge graphs for food) to deepen insights builtin.com+14jobs.barry-callebaut.com+14careers.beamsuntory.com+14arxiv.org+1arxiv.org+1. Qualifications & Skills: Education & Experience: Bachelor's or Master’s in Data Science, Statistics, Computer Science, Economics, or related field. 3+ years of applied data science experience, preferably in consumer goods, beverages, CPG, or retail en.wikipedia.org+13careers.danone.com+13careers.beamsuntory.com+13builtin.com+3careers.beamsuntory.com+3karkidi.com+3. Technical Skills: Proficiency in Python/R/SQL (libraries like Pandas, NumPy, scikit-learn) careers.danone.com+1shiksha.com+1. Experience with forecasting and optimization techniques (time-series, regression, clustering) jobdetails.nestle.com. NLP or sentiment-analysis experience using modern frameworks. Data visualization and dashboard tools: Power BI, Tableau, Looker arxiv.org+1en.wikipedia.org+1careers.danone.com. Familiarity with cloud platforms (AWS, Azure, GCP) and big‑data tools (Spark, Databricks) . Soft Skills: Strong problem-solving and critical thinking grounded in domain curiosity careers.danone.com. Effective communication—able to present complex insights clearly to non‑technical audiences en.wikipedia.org+15careers.danone.com+15onlineamrita.com+15. Initiative and ownership mindset with strong cross-functional collaboration. Nice-to-Haves: Familiarity with industry data sources (Beverage Digest, Nielsen, IQVIA) takeofftalent.com+14careers.danone.com+14reddit.com+14builtin.com+10en.wikipedia.org+10careers.danone.com+10. Experience in pricing analytics/optimization (transfer learning for new products) jobs.barry-callebaut.com. Knowledge of advanced techniques like machine vision for food quality or knowledge graphs arxiv.org+1arxiv.org+1. What We Offer: A key strategic role in shaping a new beverage venture—every insight you create directly impacts strategy, marketing, product development, and launch decisions. Fast-paced environment with opportunity to build data infrastructure and analytics capabilities from scratch. Competitive compensation, flexible work policies, and opportunities for rapid career growth and leadership. How to Apply: Send your resume plus a brief case study or portfolio link showcasing any relevant analyses or projects—especially anything involving consumer products, beverage trends, or predictive models. Explain how your past work can help shape the success of a beverage start-up. Let me know if you’d like to tweak focus (e.g., consumer insights vs. supply chain), include salary banding, or align with Indian hiring norms. Job Type: Full-time Pay: ₹80,000.00 - ₹100,000.00 per month Benefits: Provident Fund Work Location: In person Application Deadline: 21/06/2025

Job Reference # 318227BR Job Type Full Time Your role Are you interested in pursuing a career in Data Science and AI with STAAT team in Global wealth management Americas? Building deployable machine learning models and embedding it in business workflow Defining AI research problems and criteria for evaluating success Contributing to product design, developing features to enhance the product based on Natural Language techniques Processing massive amounts of structured and unstructured data Researching new machine learning solutions for complex business problems and embedding the models within the business workflow Communicating findings Your team You’ll be working STAAT Data Science team in Mumbai Your expertise degree in Computer Science or related field strong understanding of probability, statistics, linear algebra and calculus 4+ years’ experience in developing and NLP Models Expert level proficiency in python 2+ years’ experience in building NLP models for Sentiment scoring, summarization, abstractions using deep learning, transfer learning techniques Experience in dealing with large-scale unstructured text data Experience in machine learning packages ML experience with different supervised and unsupervised learning algorithms knowledge of a variety of machine learning techniques such as classification, clustering, optimization, Random Forest, PCA, XgBoost, natural language processing, deep neural network, etc good understanding of mathematical underpinning and their realworld advantages/drawbacks hands on experience of using programming languages (Python, R, SQL, etc.) to manipulate data, develop models and derive insights hands on experience of database and analytical technologies in the industry, such as Greenplum, DB2, Dataiku, Hadoop, etc hands-on experience deploying analytical models to solve business problems ability to develop experimental and analytical plans for data modeling processes and A/B testing About Us UBS is the world’s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.. We have a presence in all major financial centers in more than 50 countries. How We Hire We may request you to complete one or more assessments during the application process. Learn more Join us At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves. We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us. Disclaimer / Policy Statements UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce. Show more Show less

Strong WebSphere Application Server and IBM HTTP Server .Basic knowledge of various OS server functionality ,RDBMS &able to do daily operation activity, IT infrastructure knowledge Should have architecture understanding of internet-based application. Required Candidate profile Exp-4+yrs Skill-Should have worked/experience on WebSphere Application Server and IBM HTTP Server for at least 2 years Location-Mumbai/Hyderabad Any Queries-kanchan@peshr.com/9867762401

Strong WebSphere Application Server and IBM HTTP Server .Basic knowledge of various OS server functionality ,RDBMS &able to do daily operation activity, IT infrastructure knowledge Should have architecture understanding of internet-based application. Required Candidate profile Exp-4+yrs Skill-Should have worked/experience on WebSphere Application Server and IBM HTTP Server for at least 2 years Location-Mumbai Any Queries-kanchan@peshr.com/9867762401

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role: Associate Architect - Machine Learning Experience: 6 to 9 Years Location: Mumbai/Bangalore/Trivandrum Must Have Skills 6+ years of relevant hands-on technical experience implementing, and developing cloud ML solutions on AWS. Hands-on experience on AWS Machine Learning services. Proven experience using AWS Sagemaker leveraging different types of data sources, Training jobs, real-time and batch Inference, and Processing Jobs. Good Experience developing applications using LLMs with Langchain. Must have experience using GenAI frameworks such as vertexAI, OpenAI, AWS Bedrock. Must have Hands-on experience fine-tuning large language models( LLM) and Generative AI (GAI), specifically LLama2. Must have Hands-on experience working with (Retrieval Augmented Generation) RAG architecture and experience using vector indexing such as Opensearch, Elasticsearch. Strong familiarity with higher-level trends in LLMs and open-source platforms. Should have experience with Deep Learning Concepts. Transformers, BERT, Attention models Prompt Engineering: Engineer prompts and optimize few-shot techniques to enhance LLM's performance on specific tasks, e.g. personalized recommendations. Model Evaluation & Optimization: Evaluate LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and exploring model interpretability for robust web app integration. Response Quality: Collaborate with ML and Integration engineers to leverage LLM's pre-trained potential, delivering contextually appropriate responses in a user-friendly web app. Implement and manage MLOps principles and best practices for Gen AI models Thorough understanding of NLP techniques for text representation and modeling Able to effectively design software architecture as required Experience with at least one of the workflow orchestration tools, Airflow, StepFunctions, SageMaker Pipelines, Kubeflow etc.Knowledge of a variety of machine learning techniques (Supervised/unsupervised etc.) (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks Ability to create end to end solution architecture for model training, deployment and retraining using native AWS services such as Sagemaker, Lambda functions, etc. Ability to collaborate with cross-functional teams such as Developers, QA, Project Managers, and other stakeholders to understand their requirements and implement solutions. Good To Have Skills Experience of working for customers/workloads in the Edtech domain with use cases. Experience with software development If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us ! Show more Show less

Summary Position Summary DT-US Product Engineering - Data Scientist Manager We are seeking an exceptional Data Scientist who combines deep expertise in AI/ML with a strong focus on data quality and advanced analytics. This role requires a proven track record in developing production-grade machine learning solutions, implementing robust data quality frameworks, and leveraging cutting-edge analytical tools to drive business transformation through data-driven insights . Work you will do The Data Scientist will be responsible for developing and implementing end-to-end AI/ML solutions while ensuring data quality excellence across all stages of the data lifecycle. This role requires extensive experience in modern data science platforms, AI frameworks, and analytical tools, with a focus on scalable and production-ready implementations. Project Leadership and Management: Lead complex data science initiatives utilizing Databricks, Dataiku, and modern AI/ML frameworks for end-to-end solution development Establish and maintain data quality frameworks and metrics across all stages of model development Design and implement data validation pipelines and quality control mechanisms for both structured and unstructured data Strategic Development: Develop and deploy advanced machine learning models, including deep learning and generative AI solutions Design and implement automated data quality monitoring systems and anomaly detection frameworks Create and maintain MLOps pipelines for model deployment, monitoring, and maintenance Team Mentoring and Development: Lead and mentor a team of data scientists and analysts, fostering a culture of technical excellence and continuous learning Develop and implement training programs to enhance team capabilities in emerging technologies and methodologies Establish performance metrics and career development pathways for team members Drive knowledge sharing initiatives and best practices across the organization Provide technical guidance and code reviews to ensure high-quality deliverables Data Quality and Governance: Establish data quality standards and best practices for data collection, preprocessing, and feature engineering Implement data validation frameworks and quality checks throughout the ML pipeline Design and maintain data documentation systems and metadata management processes Lead initiatives for data quality improvement and standardization across projects Technical Implementation: Design, develop and deploy end-to-end AI/ML solutions using modern frameworks including TensorFlow, PyTorch, scikit-learn, XGBoost for machine learning, BERT and GPT for NLP, and OpenCV for computer vision applications Architect and implement robust data processing pipelines leveraging enterprise platforms like Databricks, Apache Spark, Pandas for data transformation, Dataiku and Apache Airflow for ETL/ELT processes, and DVC for data version control Establish and maintain production-grade MLOps practices including model deployment, monitoring, A/B testing, and continuous integration/deployment pipelines Technical Expertise Requirements: Must Have: Enterprise AI/ML Platforms: Demonstrate mastery of Databricks for large-scale processing, with proven ability to architect solutions at scale Programming & Analysis: Advanced Python (NumPy, Pandas, scikit-learn), SQL, PySpark with production-level expertise Machine Learning: Deep expertise in TensorFlow or PyTorch, and scikit-learn with proven implementation experience Big Data Technologies: Advanced knowledge of Apache Spark, Databricks, and distributed computing architectures Cloud Platforms: Strong experience with at least one major cloud platform (AWS/Azure/GCP) and their ML services (SageMaker/Azure ML/Vertex AI) Data Processing & Analytics: Extensive experience with enterprise-grade data processing tools and ETL pipelines MLOps & Infrastructure: Proven experience in model deployment, monitoring, and maintaining production ML systems Data Quality: Experience implementing comprehensive data quality frameworks and validation systems Version Control & Collaboration: Strong proficiency with Git, JIRA, and collaborative development practices Database Systems: Expert-level knowledge of both SQL and NoSQL databases for large-scale data management Visualization Tools: Tableau, Power BI, Plotly, Seaborn Large Language Models: Experience with GPT, BERT, LLaMA, and fine-tuning methodologies Good to Have: Additional Programming: R, Julia Additional Big Data: Hadoop, Hive, Apache Kafka Multi-Cloud: Experience across AWS, Azure, and GCP platforms Advanced Analytics: Dataiku, H2O.ai Additional MLOps: MLflow, Kubeflow, DVC (Data Version Control) Data Quality & Validation: Great Expectations, Deequ, Apache Griffin Business Intelligence: SAP HANA, SAP Business Objects, SAP BW Specialized Databases: Cassandra, MongoDB, Neo4j Container Orchestration: Kubernetes, Docker Additional Collaboration Tools: Confluence, BitBucket Education: Advanced degree in quantitative discipline (Statistics, Math, Computer Science, Engineering) or relevant experience. Qualifications: 10-13 years of experience with data mining, statistical modeling tools and underlying algorithms. 5+ years of experience with data analysis software for large scale analysis of structured and unstructured data. Proven track record of leading and delivering large-scale machine learning projects, including production model deployment, data quality framework implementation and experience with very large datasets to create data-driven insights thru predictive and prescriptive analytic models. E xtensive knowledge of supervised and unsupervised analytic modeling techniques such as linear and logistic regression, support vector machines, decision trees / random forests, Naïve-Bayesian, neural networks, association rules, text mining, and k-nearest neighbors among other clustering models. Extensive experience with deep learning frameworks, automated ML platforms, data processing tools (Databricks Delta Lake, Apache Spark), analytics platforms (Tableau, Power BI), and major cloud providers (AWS, Azure, GCP) Experience architecting and implementing enterprise-grade solutions using cloud-native ML services while ensuring cost optimization and performance efficiency Strong track record of team leadership, stakeholder management, and driving technical excellence across multiple concurrent projects Expert-level proficiency in Python, R, and SQL, with deep understanding of statistical analysis, hypothesis testing, feature engineering, model evaluation, and validation techniques in production environments Demonstrated leadership experience in implementing MLOps practices, including model monitoring, A/B testing frameworks, and maintaining production ML systems at scale. Working knowledge of supervised and unsupervised learning techniques, such as Regression/Generalized Linear Models, decision tree analysis, boosting and bagging, Principal Components Analysis, and clustering methods. Strong oral and written communication skills, including presentation skills The Team Information Technology Services (ITS) helps power Deloitte’s success. ITS drives Deloitte, which serves many of the world’s largest, most respected organizations. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. The ~3,000 professionals in ITS deliver services including: Security, risk & compliance Technology support Infrastructure Applications Relationship management Strategy Deployment PMO Financials Communications Product Engineering (PxE) Product Engineering (PxE) team is the internal software and applications development team responsible for delivering leading-edge technologies to Deloitte professionals. Their broad portfolio includes web and mobile productivity tools that empower our people to log expenses, enter timesheets, book travel and more, anywhere, anytime. PxE enables our client service professionals through a comprehensive suite of applications across the business lines. In addition to application delivery, PxE offers full-scale design services, a robust mobile portfolio, cutting-edge analytics, and innovative custom development. Work Location: Hyderabad Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 303069 Show more Show less

Job Description: We're seeking a skilled and motivated ML/AI Engineer to join our team and drive end-to-end AI development for cutting-edge healthcare prediction models. As part of our AI delivery team you will be working on designing, developing, and deploying ML models to solve complex business challenges. Key Responsibilities: Design, develop, and deploy scalable machine learning models and AI solutions. Collaborate with engineers and product managers to understand business requirements and translate them into technical solutions. Analyse and preprocess large datasets for training and testing ML models. Experiment with different ML algorithms and techniques to improve model performance. Skills & Qualifications: Experience: B.Tech with 3-6 years of relevant experience in Machine Learning, AI, or Data Science roles. OR M.Tech, M. Statistics with 2-4 years of relevant experience in Machine Learning, AI, or Data Science roles. Education: Bachelor's/master's degree in computer science or Statistics or any other relevant engineering / AI course from a Tier 2 college or similar colleges/universities. Technical Skills: Proficiency in programming languages such as Python & R Strong knowledge of classical machine learning algorithms with hands on experience in the following: Supervised (Classification model, regressions models) Unsupervised, (Clustering Algorithms, Autoencoders) Ensemble Models (Stacking, Bagging, Boosting techniques, Random Forest, XGBoost) Experience in data preprocessing, feature engineering, and handling large-scale datasets. Model evaluation techniques like accuracy, precision, recall, F1 score, AUC-ROC for classification, and MAE, MSE, RMSE, R-squared for regression. Explainable AI (XAI) techniques include methods like SHAP values, LIME, feature importance from decision trees, and partial dependence plots. Experience with ML frameworks like TensorFlow, PyTorch, Scikit-learn, or Keras. Building & deploying Model APIs using framework like Flask, Fast API, Django, TensorFlow Serving etc. Knowledge of cloud platforms like Azure (preferred), AWS, GCP and experience deploying models in such environments -> changed the wording, added points. Nice to Have: Object Oriented Programming. Familiarity with NLP, or time series analysis. -> Moving this into Nice to have, not bare min Exposure to deep learning models (RNN, LSTM) and working with GPUs. Show more Show less

Creative Technosoft System Pvt. Ltd. is seeking an experienced Senior SQL Database Administrator with over 5 + years of expertise in SQL, SQLite, Hadoop, and Big Data technologies . Proficiency in Python scripting is preferable to automate and optimize database operations. Preference will be given to candidates who are immediate joiners . The ideal candidate will be adept at managing, maintaining, and optimizing databases while collaborating with cross-functional teams to ensure data availability, integrity, and scalability. Responsibilities: Database Administration: Oversee the design, implementation, maintenance, and performance optimization of the applications’ SQL and SQLite databases . Big Data Expertise: Hands-on experience with Hadoop and other Big Data technologies to manage, process, optimize, and troubleshoot large datasets and distributed systems. Automation and Scripting: Develop and maintain automation scripts using Python to streamline routine database management tasks. Performance Tuning: Monitor and analyze database performance, identifying and resolving bottlenecks, slow queries, and other performance issues to ensure optimal system responsiveness. High Availability and Disaster Recovery: Implement and maintain high availability (HA) and disaster recovery (DR) solutions, such as clustering, mirroring, and AlwaysOn, to ensure data integrity and minimize downtime. Security and Compliance: Implement and enforce robust security measures to protect sensitive data, ensure compliance with industry regulations, and regularly conduct security audits. Backup and Recovery: Develop and maintain backup and recovery strategies to safeguard critical data, perform routine backups, and manage recovery processes. Capacity Planning: Monitor database growth trends and plan for capacity expansion, including provisioning and scaling of resources as needed. Database Upgrades and Migrations: Plan and execute upgrades, patches, and migrations of database systems while minimizing disruptions to operations. Troubleshooting: Investigate Show more Show less

Position: Machine Learning Engineer Intern Organization: TechKnowledgeHub.org Location: Remote / Hybrid / On-site (if applicable) Duration: 3–6 Months | Flexible Timings Stipend: Performance-Based / Certificate & LOR Provided About Us: TechKnowledgeHub.org is an emerging platform committed to empowering learners and professionals with cutting-edge knowledge in technology, data science, AI, and beyond. We provide hands-on training, industry-oriented projects, and real-world experience to bridge the gap between academia and industry. Internship Role Overview: We are looking for passionate and curious Machine Learning Engineer Interns who want to build real-world AI/ML applications and contribute to impactful projects. This role offers a unique opportunity to work closely with experienced mentors, learn industry practices, and strengthen your ML skillset. Responsibilities: Collaborate with the AI/ML team to design, develop, and deploy ML models Work on supervised and unsupervised learning algorithms, data preprocessing, and feature engineering Analyze large datasets and build models for prediction/classification Assist in developing APIs or deploying models using tools like Flask, FastAPI, or Streamlit Document code, experiments, and results for knowledge sharing Requirements: Good understanding of Python and core ML libraries (scikit-learn, pandas, NumPy, etc.) Knowledge of key ML algorithms like regression, decision trees, clustering, etc. Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus Ability to work with datasets, preprocess data, and validate model performance Strong willingness to learn and contribute proactively What You’ll Gain: Hands-on experience with live ML projects Mentorship from experienced professionals Internship Certificate & Letter of Recommendation Exposure to deployment, version control (Git), and collaborative workflows Opportunity to be featured on TechKnowledgeHub’s platform for outstanding work How to Apply: Send your updated resume and a short statement about your interest in ML to resume@techknowledgehub.org Show more Show less

Job Title: Data Scientist – Real Estate Analytics Location: Yelahanka, Bangalore | Full-Time | On-Site About Us: Dharmic Homez is a fast-growing luxury real estate startup building ultra-premium villas in Bangalore. We’re seeking a Data Scientist to bring efficiency, insight, and intelligence across our operations, sales, and market strategy. Key Responsibilities: Build predictive models for lead conversion, pricing, ROI, and demand forecasting. Analyze sales, CRM, marketing, and customer behavior data . Develop dashboards using Power BI / Tableau / Google Data Studio . Perform geospatial analysis using GIS tools & Google Maps API. Clean, transform, and manage large datasets using SQL, Python (Pandas, NumPy) . Deploy machine learning algorithms (regression, classification, clustering). Conduct competitive benchmarking via web scraping or APIs. Collaborate cross-functionally with marketing, sales, and leadership teams. Requirements: 3+ years experience in data science or analytics. Proficient in Python, SQL, scikit-learn, pandas, matplotlib, seaborn . Strong in statistics, data wrangling, data visualization, ML models . Experience with real estate data or customer analytics preferred. Knowledge of APIs, ETL, and cloud tools (AWS/GCP) is a plus. Apply at careers@dharmichomez.in with subject line: Data Scientist – Real Estate Job Type: Full-time Pay: ₹500,000.00 - ₹850,000.00 per year Schedule: Day shift Ability to commute/relocate: Yelahanka Satellite Town, Bengaluru, Karnataka: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): Do you have forecasting experience in real estate? Experience: Data science: 2 years (Preferred) Location: Yelahanka Satellite Town, Bengaluru, Karnataka (Preferred) Work Location: In person

Introduction Games24x7 is India’s leading and most valuable multi-gaming unicorn. We’re a full-stack gaming company, offering awesome game playing experiences to over 100 million players through our products - RummyCircle, India’s first and largest online rummy platform, My11Circle, the country’s fastest growing fantasy sports platform A pioneer in the online skill gaming industry in India, Games24x7 was founded in 2006 when two New York University trained economists Bhavin Pandya, and Trivikraman Thampy met at the computer lab and discovered their shared passion for online games. We’ve always been a technology company at heart, and over the last decade and a half, we’ve built the organisation on a strong foundation of ‘the science of gaming’, leveraging behavioural science, artificial intelligence, and machine learning to provide immersive and hyper-personalised gaming experiences to each of our players. Backed by marquee investors including Tiger Global Management, The Raine Group, and Malabar Investment Advisors, Games24x7 is leading the charge in India’s gaming revolution, constantly innovating and offering novel entertainment to players! Our 800 passionate teammates create their magic from our offices in Mumbai, Bengaluru, New Delhi, Miami, and Philadelphia. For more information and career opportunities you may visit www.games24x7.com. Summary of the Role Role: Senior Analyst Exp: 1+ years of experience post B.Tech/B.E We're looking for a results-oriented Data Analyst with a passion for uncovering insights that drive better business decisions. You'll possess expertise in SQL, Tableau, and Python, using these tools for in-depth analysis, A/B testing, time series forecasting, and customer segmentation. Your skills in data pipeline development and automation will streamline workflows and enhance data accessibility. Key Responsibilities: Data Preparation: Collect and structure data from various sources (e.g., databases, spreadsheets, internal systems). Rigorously clean and prepare data, ensuring consistency and quality for downstream analysis. Exploratory Analysis: Dive deep into datasets using SQL and Python. Discover patterns, anomalies, and potential relationships that inform further investigation. A/B Test Analysis: Design, execute, and analyse A/B tests to evaluate the effectiveness of website changes, marketing campaigns, and product features. Provide data-driven recommendations to optimise results. Segmentation Analysis: Apply clustering or other segmentation methods to identify distinct customer groups. Analyse behavioural patterns and develop targeted strategies. Data Pipelines: Build and maintain data pipelines to automate data collection, cleaning, and transformation. Optimise data workflows for efficiency. Visualisation and Reporting: Masterfully craft visualisations and dashboards in Tableau. Communicate complex findings clearly and concisely to diverse stakeholders. Python Automation: Streamline repetitive tasks and enhance analytical processes through Python scripting and automation. Required Skills and Qualifications: Technical Proficiency: ○ 1+ year post-BTech (IIT/NIT/BITS) working experience as a Data Analyst or Business Analyst ○ In-depth SQL expertise for complex querying and data manipulation. ○ Advanced Tableau proficiency for creating compelling visualizations and dashboards. Analytical Mindset: Demonstrated ability to interpret data, draw meaningful conclusions, and provide actionable recommendations. Communication Excellence: Excellent written and verbal communication skills to effectively present insights to both technical and non-technical audiences. Good to have: Strong Python skills for data exploration, analysis, and automation (pandas, NumPy). Work location: Mumbai * Games24x7 is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, disability status, or any other characteristic protected by the law * Show more Show less

We are looking for a Data Scientist to help us gain useful insight out of raw data. Data Scientist responsibilities include working with the data science team, planning projects and building analytics models. You should have a strong problem-solving ability and a knack for statistical analysis. If you’re also able to align our data products with our business goals, we’d like to meet you. Your ultimate goal will be to help improve our products and business decisions by making the most out of our data. Key Responsibilities ● Responsible for overseeing the data scientists team and data specialists ● Teach, lead, and counsel colleagues on new techniques or solutions ● Collaborate with data and software engineers to enable deployment of sciences and technologies that will scale across the company’s ecosystem ● Responsible for the conception, planning, and prioritizing of data projects ● Responsible for building analytic systems and predictive models as well as experimenting with new models and techniques ● Ensure that data projects align with organizational goals Minimum Qualification ● Master's degree in Computer Science, Operations Research, Econometrics, Statistics or related technical field ● 3+ years of experience solving analytical problems using quantitative approaches ● Experience communicating quantitative analysis results ● Knowledge with relational databases and SQL ● Development experience in any scripting language (PHP, Python, Perl, etc.) ● Knowledge of statistics (e.g., hypothesis testing, regressions) ● Experience manipulating data sets through statistical software (ex. R, SAS) or other methods Technical Skills - Must have – ● Programming – Python (Preferred) / R ● ML Models – i. Regression – Linear, Logistic, Multinomial, Mixed effect ● Classification – Bagging & Boosting (Random Forest), Decision tree, SVM ● Clustering – K-Means, hierarchical, DB-Scan ● Time series – ARIMA, SARIMA, ARIMAX, Holt-Winters, Multi TS (VAR), UCM ● Neural Networks (Deep learning), Naive Bayes ● Excel and SQL ● Dimensionality Reduction – PCA, SVD etc. ● Optimization Techniques – Linear programming, Gradient Descent, Genetic Algorithm ● Cloud – Understanding of Azure / AWS offerings, Setting up ML pipeline of cloud Good to have – ● Visualization – Tableau / Power BI / Looker / QlikView ● Data management – HDFS, Spark, Advanced Excel ● Agile Tools – Azure DevOps, JIRA ● Pyspark ● Big Data/Hive Database ● IDE: Pycharm Show more Show less

At Airtel , we’re not just scaling connectivity—we’re redefining how India experiences digital services. With 400M+ customers across telecom, financial services, and entertainment, our impact is massive. But behind every experience is an opportunity to make it smarter . We're looking for a Product Manager – AI to drive next-gen intelligence for our customers and business. AI is a transformational technology and we are looking or skilled product managers who will work on leveraging AI to power everything from our digital platforms to customer experience. You’ll work at the intersection of machine learning, product design, and systems thinking to deliver AI-driven products that create tangible business impact—fast. What You’ll Do Lead and contribute to AI-Powered Product Strategy Define product vision and strategy for AI-led initiatives that enhance productivity, automate decisions, and personalise user interactions across Airtel platforms. Translate Business Problems into AI Opportunities Partner with operations, engineering, and data science to surface high-leverage AI use cases across workforce management, customer experience, and process automation. Build & Scale ML-Driven Products Define data product requirements, work closely with ML engineers to develop models, and integrate intelligent workflows that continuously learn and adapt. Own Product Execution End-to-End Drive roadmaps, lead cross-functional teams, launch MVPs, iterate based on real-world feedback, and scale solutions with measurable ROI. What You Need to be Successful Influential Communication - Craft clarity from complexity. You can tailor messages for execs, engineers, and field teams alike—translating AI into business value. Strategic Prioritisation - Balance business urgency with technical feasibility. You can decide what not to build, and defend those decisions with data and a narrative Systems Thinking - You can sees the big picture —how decisions in one area ripple across the business, tech stack, and user experience. High Ownership & Accountability - Operate with a founder mindset. You don't wait for direction — you can rally teams, removes blockers, deal with tough stakeholders and drives outcomes. Adaptability - You thrive in ambiguity and pivot quickly without losing sight of long-term vision—key in fast-moving digital organizations. Skills You'll Need AI / ML Fundamentals Understanding of ML model types: Supervised, unsupervised, reinforcement learning Common algorithms: Linear/logistic regression, decision trees, clustering, neural networks Model lifecycle: Training, validation, testing, tuning, deployment, monitoring Understanding of LLMs, transformers, diffusion models, vector search, etc. Familiarity with GenAI product architecture: Retrieval-Augmented Generation (RAG), prompt tuning, fine-tuning Awareness of real-time personalization, recommendation systems, ranking algorithms, etc Data Fluency Understanding Data pipelines Working knowledge of SQL and Python for analysis Understanding of data annotation, labeling, and versioning Ability to define data requirements and assess data readiness AI Product Development Defining ML problem scope: Classification vs. regression vs. ranking vs. generation Model evaluation metrics: Precision, recall, etc. A/B testing & online experimentation for ML-driven experiences ML Infrastructure Awareness Know what it takes to make things work and happen. Model deployment techniques: Batch vs real-time inference, APIs, model serving Monitoring & drift detection: How to ensure models continue performing over time Familiarity with ML platforms/tools: TensorFlow, PyTorch, Hugging Face, Vertex AI, SageMaker, etc. (at a product level) Understanding latency, cost, and resource implications of ML choices AI Ethics & Safety We care deeply about our customers, their privacy and compliance to regulation. Understand Bias and fairness in models: How to detect and mitigate them Explainability & transparency: Importance for user trust and regulation Privacy & security: Understanding implications of sensitive or PII data in AI Alignment and guardrails in generative AI systems Preferred Qualifications Experienced Machine Learning/Artificial Intelligence PMs Experience building 0-1 products, scaled platforms/ecosystem products, or ecommerce Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics Masters degree in Business Why Airtel Digital? Massive Scale : Your products will impact 400M+ users across sectors Real-World Relevance : Solve meaningful problems for our customers — protecting our customers, spam & fraud prevention, personalised experiences, connecting homes. Agility Meets Ambition : Work like a startup with the resources of a telecom giant AI That Ships : We don’t just run experiments. We deploy models and measure real-world outcomes Leadership Access : Collaborate closely with CXOs and gain mentorship from India’s top product and tech leaders Show more Show less

About Client: Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media. Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia. Job Title: AI - ML Developer Key Skills: image analytics, computer vision, and visual data processing, Python, Gen AI Job Locations: Hyderabad Experience: 6 – 10 Years Budget: 16 – 20 LPA Education Qualification : Any Graduation Work Mode: Hybrid Employment Type: Contract Notice Period: Immediate - 15 Days Interview Mode: 2 Rounds of Technical Interview + Including Client round Job Description: Key Focus Areas: · Image Analytics & Computer Vision (CV) · Machine Learning & Deep Learning · Predictive Analytics & Optimization · Generative AI (GenAI) & NLP (as secondary skills) Primary Responsibilities: · Lead and contribute to projects centered around image analytics, computer vision, and visual data processing. · Develop and deploy CV models for tasks such as object detection, image classification, pattern recognition, and anomaly detection. · Apply deep learning frameworks (e.g., TensorFlow, Keras) to solve complex visual data challenges. · Integrate multi-sensor data fusion and multivariate analysis for industrial applications. · Collaborate with cross-functional teams to implement predictive maintenance, fault detection, and process monitoring solutions using visual and sensor data. Mandatory Skills: · Strong hands-on experience in Computer Vision and Image Analytics. · Proficiency in Python and familiarity with AI/ML libraries such as OpenCV, TensorFlow, Keras, scikit-learn, and Matplotlib. · Solid understanding of machine learning techniques: classification, regression, clustering, anomaly detection, etc. · Experience with deep learning architectures (CNNs, autoencoders, etc.) for image-based applications. · Familiarity with Generative AI and LLMs is a plus. Desirable Skills: · Knowledge of optimization techniques and simulation modeling. · Domain experience in Oil & Gas, Desalination, Motors & Pumps, or Industrial Systems. Educational & Professional Background: · Bachelor’s or Master’s degree in Engineering (Mechanical, Electrical, Electronics, Chemical preferred). · Master’s in Industrial/Manufacturing/Production Engineering is a strong plus. · Demonstrated experience in solving real-world industrial problems using data-driven approaches. Soft Skills & Attributes: · Strong analytical and problem-solving skills. · Ability to work independently and manage multiple projects. · Excellent communication and stakeholder engagement skills. · Proven thought leadership and innovation in AI/ML applications. Interested Candidates please share your CV to pnomula@people-prime.com Show more Show less

Senior Data Scientist Hyderabad, Telangana, India Date posted Jun 19, 2025 Job number 1823535 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 Are you a real Machine Learning enthusiast? Does the magic of the data world fascinate you? Here at Microsoft Search we have been working on Machine Learning much before it became cool to do so. Here we are solving real world problems to empower millions of people around the globe. Microsoft Search powers delightful and relevant experiences for enterprise users to cater to their overall information need. AI powered Copilots has made the future to be the current reality. We are looking for candidates who can help build the next generation Machine Learning system. Candidates are expected to be hands on and experienced on data mining, ranking, clustering, recommendation systems. As a Senior Data Scientist in the team, you will be working independently on challenging problems, define/measure success metrics for them, as well as contribute towards Design Reviews, ML/Data pipeline reviews for the whole team. 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 2+ year(s) 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 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techn OR Bachelor'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 tec OR equivalent experience. 2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience. Hands on experience of implementing and shipping production quality Machine Learning models or Data pipelines A minimum of Bachelor’s degree in Computer Science or related field Prior work/research experience in Search domain is preferable 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: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, OR related field AND 3+ 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, #M365CORE Responsibilities End to end ranking of search results. Large Language Models. AI powered Copilot scenarios. Compliance and Privacy aware Machine Learning training pipelines at scale. Personalization of search results. 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.

Relocation Assistance Offered Within Country Job Number #167668 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Title: Senior Specialist, Global Data Science Brief introduction - Role Summary/Purpose (3-4 sentences max.): The GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical in Colgate Palmolive is focused on working on business cases which have a big $ impact for the business addressing the business questions, with recommended actions and scope for scalability across markets. The Data Scientist position would lead GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects within the Analytics Continuum. The position conceptualizes and builds machine learning, predictive modeling , simulations, and optimization solutions for clear dollar objectives and measured value for Colgate Palmolive The role would require, to work on a range of GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects across Revenue Growth Management, Price Elasticity, Promotion Analytics, Marketing Mix Modeling Data Scientist needs to manage relationships independently with Business and stakeholders to drive projects Responsibilities (4-6 bullet points): Conceptualizes and builds predictive modeling, simulations, and optimization solutions to address business questions or use cases Applies ML and AI to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business Develops end to end business solutions from data extraction, data preparation, data mining to statistical modeling and then building business presentations Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built Deploys models using Airflow, Docker on Google Cloud Platforms Own Pricing and Promotion, Marketing Mix from scoping to delivery Study large amounts of data to discover trends and patterns Mine data through various technologies like BigQuery and SQL Present insights in an easy to interpret way to the business teams Develop visualization (e.g. Looker, PyDash, Flask, PlotLy, streamlit) using large datasets and model output datasets Ready to work closely with business partners across geographies Required Qualifications (3-5 bullet points): BE/BTECH [ Computer Science, Information Technology is preferred ], MBA or PGDM in Business Analytics / Data Science, Additional DS Certifications or Courses, MSC / MSTAT in Economics or Statistics 5+ years of experience in building statistical models and driving insights Hands-on/experience on developing statistical models, such as linear regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering, Bayesian Regression etc. Hands on experience on coding languages Python(mandatory) and SQL Knowledge of using GitHub, Airflow for coding and model deployments Understand visualization frameworks PyDash, Flask, PlotLy Strong Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build Cloud Run. Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment Preferred Qualifications (3-5 bullet points): Managing, transforming, and developing statistical models for RGM/Pricing and/or Marketing Mix Models Experience with third-party data i.e., syndicated market data, Point of Sales, etc. Working knowledge of consumer packaged goods industry Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of Google Cloud products (BigQuery, data studio, kubernetes, cloud build, cloud run etc) Knowledge of deployment of models in Cloud Environment using Airflow, Docker Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation. #LI-Remote