5409 Data Science Jobs

About Credit Saison India Established in 2019, Credit Saison India is one of the country's fastest-growing Non-Bank Financial Company (NBFC) lenders. With verticals in wholesale, direct lending, and tech-enabled partnerships with Non-Bank Financial Companies (NBFCs) and fintechs, Credit Saison India's tech-enabled model coupled with underwriting capability facilitates lending at scale. This helps in meeting India's significant credit gap, especially within underserved and underpenetrated segments of the population. Committed to growing as a lender and evolving its offerings in India for the long term, Credit Saison India caters to MSMEs, households, individuals, and more. Registered with the Reserve Bank of India (RBI) and boasting an AAA rating from CRISIL (a subsidiary of S&P Global) and CARE Ratings, Credit Saison India currently operates through a branch network of 45 physical offices. It manages 1.2 million active loans, an AUM of over US$1.5B, and employs about 1,000 people. Credit Saison India is part of Saison International, a global financial company with a mission to bring people, partners, and technology together to create resilient and innovative financial solutions for positive impact. With over 1,000 employees working across Saison's global operations based in Singapore, India, Indonesia, Thailand, Vietnam, Mexico, and Brazil, Credit Saison India is dedicated to being a transformative partner in enabling the dreams of people. Roles & Responsibilities: - Promote DataOps approach to Data science, engineering, and analytics delivery processes for automating data provision, testing, monitoring, and shortening CI/CD. - Collaborate with data & ML leads to create and build optimal data pipeline architecture for data solutions, including data science products. - Ensure scalable and performant data pipelines, while creating and maintaining services to connect data products. - Develop dashboards and tools for efficient monitoring of data and ML infrastructure, pipelines, ETL, and analytics delivery processes. - Build end-to-end event instrumentation and alerting systems to detect any anomalies in the system or data. - Assist in managing data and ML infrastructure, including upgrading, monitoring, and optimizing. - Collaborate with IT DevOps engineers and participate in enterprise DevOps activities. - Share knowledge on infra and data standards with other developers and be an active part of the tech community, promoting engineering best practices. - Contribute to innovative POCs with data & engineering teams and remain flexible towards technology approaches to leverage new technologies effectively. Required Skills & Qualifications: - Strong problem-solving skills, clear communication, and a positive contribution to a DevOps/DataOps culture. - Knowledge of the latest DevOps tools and practices. - Experience with data pipelines within AWS (Glue, DataPipeline, Athena, EMR, DMS, Spark) and databases like Aurora, MySQL, MariaDB, etc. - Proficient in building CI/CD pipelines for containerized Java/Python codestack. - Comfortable with Git workflow and experience with applications deployed in AWS. - Familiarity with configuration management and provisioning tools (e.g., Ansible, CloudFormation, Terraform) and scripting languages like Bash/Python/JavaScript. - Knowledge of orchestration/containerization using Docker and Kubernetes, with basic understanding of data science & ML engineering. - Bachelor's Degree in computer science or similar field, or Big Data Background from top-tier universities. - Experience: 6 - 10 years of relevant experience.,

You will be joining Shorat Innovations Pvt Ltd, a technology company located in AhilyaNagar, in the capacity of a Programming Trainer intern. Your primary responsibilities will revolve around conducting training sessions, developing educational materials, offering feedback to trainees, and keeping abreast of the latest advancements in programming languages. To excel in this role, you should possess proficiency in Java Full Stack, Python Full Stack, Data Science, Android Development, or Flutter Development. Additionally, prior experience in delivering training sessions or workshops will be beneficial. Strong communication and interpersonal abilities are essential, along with a collaborative mindset to work effectively in a team setting. A passion for teaching and mentoring, problem-solving skills, attention to detail, and a Bachelor's degree in Computer Science or a related field are also required.,

The Department of Computer Science and Engineering, School of Computing, Amrita Vishwa Vidyapeetham, Amritapuri Campus is inviting applications from qualified candidates for the position of Assistant Professor / Associate Professor / Professor. We are looking to fill 5 positions at our location in Kollam, Kerala. The ideal candidate should have a B.Tech, M.Tech, and Ph.D. in Computer Science & Engineering. A Ph.D. or Post-Doc from a highly ranked (top 200) university is desirable. Strong teaching experience and a research background are essential. Graduated PhD scholars are preferred for the Associate Professor and Professor positions. Research scholars who have submitted their PhD thesis are also welcome to apply for the Assistant Professor position. Candidates with expertise in areas such as Robotics and Artificial Intelligence, Data Science, Cybersecurity & Networking, Parallel and Distributed Computing, Embedded Systems / Robotics, Computer Architecture and Specialization, Computational Biology, Computational Linguistics, Human-Computer Interface / Computer Graphics, Research in Speech / Signal Processing, Complex Networks / Knowledge Graphs / Web Analytics, Big Data Analytics, Cloud Computing, Web / Mobile / Game development, and Theoretical Computer Science / Algorithms are encouraged to apply. Interested applicants are requested to send their C.V. with SCOPUS ID / ORCID and publication list to csjobs@am.amrita.edu. This position falls under the job category of Teaching. The deadline for applications is December 31, 2024. For more details, please contact csjobs@am.amrita.edu.,

As a Software Engineering Lead, you will be responsible for providing technical leadership to a team of software engineers. Your role will involve driving technical decision-making to ensure alignment with company goals and objectives. Collaboration with cross-functional teams to identify and prioritize project requirements will be crucial for project success. In terms of software architecture, you will design and architect scalable, efficient, and reliable software systems using microservices architecture. It will be your responsibility to ensure the seamless integration of multiple services and systems. Collaboration with the engineering team to develop proof-of-concepts and prototypes will also be part of your duties. Regarding cloud infrastructure, you will design and implement cloud infrastructure using AWS or other cloud services. Ensuring scalability, security, and high availability of cloud infrastructure will be paramount. Collaborating with the DevOps team to guarantee smooth deployment and operations is also essential. Your role will also involve software development tasks. You will be expected to develop software applications using Python, APIs, MongoDB, React JS, and Flutter. Ensuring adherence to coding standards, best practices, and design principles will be crucial. Participating in code reviews and contributing to the improvement of the codebase will also be part of your responsibilities. In terms of project management, you will need to plan, prioritize, and manage multiple projects simultaneously. Ensuring timely delivery and high-quality results will be key. Coordination with stakeholders to gather requirements, provide updates, and ensure project deliverables meet expectations will be crucial for project success. To qualify for this role, you should have at least 6 years of experience in software development with a strong focus on Python, APIs, MongoDB, React JS, and Flutter. Proficiency in designing and implementing scalable, efficient, and reliable software systems using microservices architecture is required. Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker) is a must. A strong understanding of software design patterns, principles, and best practices is essential. Knowledge of machine learning and data science concepts will be beneficial. Apart from technical skills, soft skills are also crucial for this role. Excellent leadership, communication, and collaboration skills are required. Strong problem-solving and analytical skills are also essential. You should have the ability to work in a fast-paced environment and adapt to changing priorities. Experience with mentoring and guiding junior engineers will be beneficial. Ideally, you should have a Bachelor's or Master's degree in Computer Science, Engineering, or a related field to qualify for this position.,

Are you seeking an exciting opportunity to become a part of a dynamic and expanding team in a fast-paced and challenging environment This unique opening offers you a chance to collaborate within our team and work closely with the Business to provide a comprehensive perspective. As a Quantitative Research Associate C++ Developer in the QR modeling group at J.P. Morgan, you will play a crucial role in a global team that collaborates with traders, marketers, and risk managers across various products and regions. Your responsibilities will involve contributing to sales and client engagement, driving product innovation, managing valuation and risk, optimizing inventory and portfolios, engaging in electronic trading and market making, and implementing effective financial risk controls. This position presents a distinctive opportunity to apply your expertise in financial engineering, data analytics, statistical modeling, and portfolio management while evolving within a dynamic and forward-thinking environment. Responsibilities: - Design and execute C++ HPC models for pricing and risk assessment. - Develop tools for monitoring and optimizing the firm's resources efficiently. - Collaborate with technology teams to create risk management systems and front-end tools. Qualifications and Skills: - Hold an advanced degree (MSc, PhD, or equivalent) in Engineering, Mathematics, Physics, Computer Science, etc. - Possess strong analytical, quantitative, and problem-solving skills with a knack for research. - Demonstrate experience in object-oriented programming, particularly in C++. - Familiarity with data science and machine learning concepts, techniques, and tools. - Excellent communication skills to convey complex ideas and concepts both verbally and in written form to diverse audiences. - Ability to swiftly comprehend business concepts beyond your immediate expertise and adapt to rapidly changing business requirements. Desired Capabilities: - Knowledge of financial markets. - Experience with big data technologies and tools such as Tensorflow.,

You should have at least 6 years of professional software engineering experience, with a strong focus on the following areas: - Developing ETL pipelines involving big data. - Creating data processing and analytics applications primarily using PySpark. - Hands-on experience in developing applications on the cloud, specifically AWS, utilizing services related to storage, computing, ETL, Data Warehousing, Analytics, and streaming. - Possess a clear understanding and the ability to implement distributed storage, processing, and scalable applications. - Working experience with both SQL and NoSQL databases, and the ability to write and analyze SQL, HQL, and other query languages for NoSQL databases. - Proficiency in writing distributed and scalable data processing code using PySpark, Python, and related libraries. - Experience in developing applications that consume services exposed as ReST APIs. - Familiarity with Container-orchestration systems, such as Kubernetes. - Hands-on experience with enterprise-grade ETL tools. - Knowledge and experience with Adobe Experience Cloud solutions. - Understanding of Web Analytics and Digital Marketing concepts. - Knowledge and experience with Google Cloud platforms. - Exposure to Data Science, Machine Learning/Artificial Intelligence, R, or Jupyter. If you meet the above requirements, you are encouraged to apply for this position.,

As a Finance Data Analyst at our UK-based accounting and IT project management service provider with an overseas office in Bapunagar Ahmedabad Gujarat, your primary responsibility will be to analyze and interpret financial data to identify trends and insights. You will be tasked with developing and maintaining advanced Excel Macros and VBA scripts to automate data processing and reporting tasks. Additionally, you will design and build interactive dashboards and data visualizations using tools such as Power BI, TableEU, Power Query, or similar applications to support decision-making. Collaboration with cross-functional teams will be essential to optimize data structures, enhance data accuracy, and accessibility. You will also perform statistical analysis and predictive modeling to support business forecasting and strategic planning. Ensuring data integrity, security, and compliance with regulatory standards will be a key aspect of your role. Providing actionable insights and recommendations based on data analysis to improve financial performance will be crucial. Furthermore, documenting processes, methodologies, and findings for stakeholder understanding and future reference will be part of your routine tasks. Continuous evaluation and improvement of data collection, analysis, and reporting practices will be expected from you. To excel in this role, you should possess a Bachelor's or Master's degree in Finance, Data Science, Computer Science, or a related field along with 3 to 5 years of experience in finance, data analysis, and data science. Proficiency in Excel, including advanced Macros, VBA, and pivot tables, as well as SQL query management tools is required. Strong knowledge of big data analytical applications like Power BI, TableEU, Power Query, or similar tools for creating dashboards, data modeling, and DAX calculations is essential. Experience with statistical analysis, predictive modeling, and machine learning techniques will be beneficial. A strong analytical mindset, problem-solving skills, attention to detail, and excellent communication skills to present technical findings to non-technical stakeholders are necessary. The ability to work independently and collaboratively in a fast-paced environment is also crucial. Preferred skills for this role include knowledge of SQL for querying databases, experience with Python or R for data analysis and automation, understanding of financial regulations, and compliance requirements, as well as prior experience in the IT or financial services industry.,

The Balance Sheet Management Senior Lead Analyst role within the Balance Sheet Integrated Solution team is dedicated to addressing intricate Treasury issues through a combination of conventional methodologies and cutting-edge techniques, such as AI/ML. You will collaborate with various teams (Capital, IRRBB, FTP, Non-Market Risk, Methodology) to deliver strategic outcomes, drawing upon your expertise in mathematics, quantitative finance, programming, and data science. Effective communication, leadership, and teamwork are crucial for influencing a diverse range of stakeholders and mentoring junior colleagues. You will be responsible for: - Identifying, designing, and implementing solutions, ranging from traditional analytic methods to AI/ML, to address key challenges faced by the Treasury. - Developing and maintaining Python libraries, adhering to SDLC best practices, and sharing code on GitHub with comprehensive documentation. - Overseeing the model pipeline and ensuring compliance with the governance standards set by Model Risk Management. - Extracting, cleansing, and preparing extensive datasets, utilizing SQL and other data manipulation techniques for advanced analytics pipelines. - Creating impactful Tableau dashboards that simplify complex data insights into actionable suggestions. - Steering platform and model strategies, prioritizing projects, and conducting forward-thinking analytics in alignment with firmwide goals. - Collaborating with Capital, IRRBB, FTP, Non-Market Risk, and Methodology teams to deliver timely, data-driven solutions that enhance business decision-making processes. Qualifications: - Minimum of 10 years of relevant experience in finance/banking, demonstrating expertise in Balance Sheet Management, Capital, IRRBB, Transfer Pricing, or related fields. - Strong background in mathematics, quantitative finance, programming, and data science, with hands-on experience in developing and deploying advanced AI/ML solutions. - Proficient in Python, SQL, and data engineering practices; familiarity with analysis tools like Tableau and Excel, as well as version control using GitHub. - Proven ability to architect, maintain, and scale analytics pipelines from data ingestion to model deployment within SDLC frameworks. - Skilled in capital markets activities, liquidity planning, and balance sheet analytics. - Outstanding communication, leadership, and collaboration skills to effectively engage with both technical and non-technical stakeholders. - Bachelor's degree in a relevant field (a Master's degree is preferred) such as Finance, Computer Science, Data Science, Mathematics, or similar. Desired Skills: - Coding proficiency - Python expertise - Tableau proficiency - Understanding and capability to design Quantitative Methods - Data Science knowledge This is a full-time position within the Finance job family group under the Non-Trading Market Risk Management category at Citi. Citi is an equal opportunity and affirmative action employer, encouraging all qualified and interested candidates to explore career opportunities. If you require a reasonable accommodation due to a disability to utilize our search tools or apply for a role, please refer to the Accessibility at Citi information provided by Citigroup Inc. and its subsidiaries.,

The Internal Audit US Personal Banking team at Citi is responsible for providing independent assurance over the key risks and processes associated with Citi's US Personal Banking (USPB) line of business and the associated servicing and operations. USPB serves Citi's home market with the largest consumer wallet in the world, offering consumer branded cards, retail services, and retail banking, including mortgages. The IA USPB Team covers the end-to-end consumer product lifecycle, from the design of new products to the end-to-end customer experience, with audit and analytics professionals located in various locations across the US, Canada, and India. As the Data Analytics Lead Analyst VP, you will be responsible for performing complex and critical audits and assessments of Citi's risk and control environments in coordination with the Audit team. This role will involve leveraging analytical tools, data science, and innovations to participate in audits, issues and regulatory validation, business monitoring, and governance reporting to meet the requirements of the Boards of Citigroup and Citibank, their affiliates, and Citis respective regulators globally. Key Responsibilities: - Develop and maintain Computer Assisted Audit Tools and Techniques (CAATTs) using SQL-based analytical tools such as Python, SAS, and SSMS. - Perform independent testing of business data extractions and segmentations across multiple platforms for completeness, accuracy, and applicability to internal audit testing and regulatory requirements. - Support Risk-Based Audits and Issue Validation through independent testing of data sets across various databases for accuracy and applicability to internal audit testing and regulatory requirements. - Develop and support analytical solutions for continuous auditing across Citis data landscape. - Utilize data science techniques (statistics, NLP, ML, AI) to conduct testing and identify data quality concerns or weaknesses in data governance. - Test controls by acquiring data related to business processes, procedures, and database environments. - Lead time-based project teams and serve as the lead analyst for all types of reviews. - Stay updated on industry developments and incorporate new technologies and auditing concepts into day-to-day operations. - Develop effective relationships with line management to ensure a strong understanding of the business. - Demonstrate strong analytical and interpersonal skills, make sound decisions, exhibit initiative, and apply knowledge of key regulations to influence testing strategies. Qualifications: - BS/BA degree in Data Science, Management Information Systems (MIS), Mathematics, Computer Science, or Information Technology (IT) preferred. - 5+ years of experience in writing SQL queries (T SQL, P/L SQL, SAS). - Senior-level experience in providing analytics or reporting, with a strong understanding of management information systems and data analytics tools. - Effective communication, negotiation, and project management skills. - Ability to remain unbiased in a diverse working environment. - Bachelor's/University degree required, Master's degree preferred. Citi is an equal opportunity and affirmative action employer, encouraging all qualified applicants to apply for career opportunities.,

As a Senior Manager, Salesforce AI Technical Architect at Genpact, you will play a crucial role in leading the design, implementation, and deployment of Salesforce solutions to meet business objectives and best practices. You will be responsible for integrating Salesforce with other systems, utilizing Agentforce for AI-driven customer service, implementing Salesforce Chatbots for enhanced customer engagement, and leveraging Einstein AI to develop intelligent solutions that drive business value. Additionally, you will apply Data Science methodologies to analyze complex business problems, generate actionable insights, and implement Generative AI models to enhance business processes and customer experiences. Your responsibilities will include overseeing the deployment of Salesforce solutions into production environments, collaborating with cross-functional teams to understand requirements, providing technical leadership and mentorship to development teams, and staying updated with the latest Salesforce features and technologies. You will need to have a Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field, along with relevant years of experience as a Salesforce Technical Architect. Salesforce certifications such as Salesforce Certified Technical Architect, Salesforce Certified AI Specialist, or equivalent are required, as well as hands-on experience with Apex, Lightning Web Components (LWC), platform configuration, data modeling, and integrations. To excel in this role, you should have expertise in Agentforce, Salesforce Chatbot, Einstein AI, Data Science, and Generative AI models. Strong background in Data Science, including experience with data analysis, statistical modeling, and machine learning techniques is essential. Your ability to design scalable, maintainable, and robust Salesforce solutions, along with excellent problem-solving skills and effective communication with technical and non-technical stakeholders, will be critical for success in this position. If you are passionate about Salesforce, possess the necessary technical skills, and have a strong desire to create lasting value for clients, we invite you to apply for the role of Senior Manager, Salesforce AI Technical Architect at Genpact. Join us in our relentless pursuit of a world that works better for people, and be part of a global professional services firm that is transforming leading enterprises with innovative solutions and deep industry knowledge.,

As a Senior Manager of Technical Program Management at Capital One India, you will be part of the Machine Learning Experience (MLX) team, a group dedicated to implementing responsible ML models and features across the company. Your role will involve collaborating with various teams including product, engineering, and data scientists to create roadmaps, define milestones, and build scalable ML products and platforms. You will be responsible for driving innovation, presenting to executive stakeholders, and ensuring the successful delivery of enterprise-level initiatives. The ideal candidate for this role will possess a strong technical background in building scalable platforms and products, along with exceptional communication and collaboration skills. You should have a quantitative approach to problem-solving, the ability to simplify complex technical concepts, and a focus on execution and results. Emotional intelligence, empathy, and the ability to lead a program team are also key attributes for success in this role. In terms of qualifications, a Bachelor's degree is required, along with at least 5 years of experience managing technical programs and designing data-intensive solutions. Experience with machine learning, cloud infrastructure, and major ML frameworks such as XGBoost and PyTorch is highly desirable. Additionally, familiarity with Agile delivery, building distributed systems, and working within a highly regulated environment are preferred qualifications. If you meet these qualifications and are looking to join a dynamic team at Capital One India, we encourage you to apply for the Senior Manager - Technical Program Management position. Please note that Capital One is an equal opportunity employer committed to non-discrimination and promotes a drug-free workplace. If you require any accommodations during the application process, please contact Capital One Recruiting for assistance.,

Your responsibilities include leading a team of 10+ associates to support key deliverables for Region Europe, promoting a data-driven decision-making culture through coaching, mentoring, and introducing industry best practices and external perspectives. You will conceptualize, design, and develop advanced analytics projects and proof of concepts on prioritized use cases incorporating multiple data sources. Additionally, you will design and implement automated data workflows for complex datasets, collaborating with business and IT teams to expand automation and integrate it with existing systems. Your role will involve overseeing data integration across multiple teams to ensure insights are aligned with business priorities and performance objectives. Collaboration with cross-functional global teams to ensure accurate delivery of key projects is also a key aspect of your responsibilities. You will provide thought leadership to foster a culture of data-driven decision-making, identify best practices across the organization and industry, and provide inputs to the team and the broader community. Your role will involve driving data-driven innovation and supporting operational excellence through simplification and automation initiatives. To be successful in this role, you will need a Master's or bachelor's degree in Data Analytics, Data Science, Business, or Engineering; an MBA from a reputed institute is preferred. You should have 10+ years of experience in Data Analytics or related fields, with specific experience in producing insights for senior management and building statistical models to address business issues. Experience in Commercial Analytics in the Pharma or Life Sciences industry is preferred. Additionally, you should have experience working with large datasets, data visualization tools, statistical software packages, and platforms, specifically Python, advanced SQL, Snowflake, AWS, Databricks, PowerBI, and Alteryx. Demonstrated experience in designing and delivering insights using statistical models, AI/ML, including GenAI, is a significant plus. Experience deploying predictive models, user-centric dashboards, cloud-based ELT pipelines, simulation, and optimization models is also a significant plus. Proficiency in project management tools and practices, as well as high proficiency in MS-Excel and PPT, is required. In this role, you will receive benefits such as flexible working arrangements, learning and development opportunities, and more. Join Sandoz, a leader in the Generic and Biosimilar medicines sector, where you can contribute to touching the lives of millions of patients worldwide. Shape the future of Sandoz by leveraging new development capabilities, state-of-the-art production sites, acquisitions, and partnerships to increase access to low-cost, high-quality medicines sustainably. Experience an open, collaborative culture driven by talented and ambitious colleagues, where diversity is welcomed, and personal growth is encouraged. Embrace an agile and collegiate environment with impactful, flexible-hybrid career opportunities. The future is in your hands at Sandoz!,

As a Senior Architect AI Products supporting Novartis" Commercial function, you will play a crucial role in driving the architectural strategy that facilitates the seamless integration of data and AI products across various key areas such as omnichannel engagement, customer analytics, field operations, and real-world insights. Your responsibilities will involve collaborating with commercial business domains, data platforms, and AI product teams to design scalable, interoperable, and compliant solutions that enhance the impact of data and advanced analytics on healthcare professional and patient engagement. You will be tasked with defining and implementing the reference architecture for commercial data and AI products, ensuring alignment with enterprise standards and business priorities. Additionally, you will architect the integration of data products with AI products and downstream tools, promoting modular, scalable design to encourage reuse and interoperability across different markets and data domains within the commercial landscape. Stakeholder alignment will be a key aspect of your role, as you will partner with various teams to guide solution design, delivery, and lifecycle evolution. Your role will also involve supporting the full lifecycle of data and AI, including ingestion, transformation, model training, inference, and monitoring within secure and compliant environments. It will be essential to ensure that the architecture complies with governance, data privacy, and commercial requirements while constantly seeking opportunities for architectural improvements, modern technologies, and integration patterns to enhance personalization, omnichannel engagement, segmentation, targeting, and performance analytics. To excel in this position, you are expected to demonstrate proven leadership in cross-functional architecture efforts, possess a good understanding of security, compliance, and privacy regulations in the commercial pharma sector, and have experience with pharmaceutical commercial ecosystems and data. A strong background in data platforms, pipelines, and governance, as well as knowledge of AI/ML architectures supporting commercial use cases, will be advantageous. Additionally, a bachelor's or master's degree in computer science, engineering, data science, or a related field, along with at least 10 years of experience in enterprise or solution architecture, are desirable qualifications for this role. Novartis is committed to diversity, equal opportunity, and inclusion, striving to build diverse teams that represent the patients and communities served. By joining Novartis, you will become part of a community of passionate individuals collaborating to achieve breakthroughs that positively impact patients" lives. If you are ready to contribute to creating a brighter future through innovation and collaboration, we invite you to explore career opportunities at Novartis.,

Job Description: As a leader at a Fortune Global 500 organization, you will be responsible for advocating various data science teams on best practices surrounding the development and implementation of advanced analytic systems and predictive and prescriptive models. Working closely with a team of data scientists, data analysts, data engineers, machine learning engineers, business and data domain owners, application developers, and architects, you will play a crucial role in creating and delivering insights from large and disparate data to enable confident business decisions. Your role will involve evaluating and adopting emerging technologies that support statistical modeling, machine learning, distributed computing, and run-time performance tuning to optimize processes and introduce new products and services to the market. Additionally, you will support senior leadership by planning and executing broad advanced analytics initiatives aimed at delivering value to both internal and external stakeholders. Furthermore, you may also be involved in managing people within the department. Responsibilities: - Lead and oversee the data analysts, data scientist team, machine learning engineers, and big data specialists to implement models and systems that provide optimal results and are scalable to meet future business needs. - Serve as a subject matter expert on UPS business processes, data, and advanced analytics capabilities to define problems, data, and model requirements using proven predictive and prescriptive techniques. - Maintain a broad understanding of implementation, integration, and inter-connectivity issues with emerging technologies to develop strategies that support the creation, development, and delivery of analytic solutions aligned with business needs. - Prototype algorithms to ensure analytic results address problem statements and business requirements effectively. - Interpret and analyze large-scale datasets to uncover insights supporting the building of analytic systems and predictive models while experimenting with new and emerging techniques. - Identify and evaluate cutting-edge open-source, data science/machine learning libraries, data platforms, and vendor solutions to prioritize and plan data projects across the enterprise. - Provide thought leadership, technical guidance, and counsel for data science project teams to evaluate strategic alternatives, recommend courses of action, and design and implement solutions. - Advocate for best practices in the adoption of Cloud-AI technologies, open-source software, machine learning libraries/packages, and data science platforms to derive actionable insights empowering business decisions. - Communicate effectively with business customers and the senior leadership team with varying levels of technical knowledge, educate them about systems, and share insights and recommendations to inform business strategies. - Manage analytics projects/teams and act as a point of contact to ensure alignment of team actions and communication with stakeholders to keep projects on track with goals. Qualifications: - Ability to engage key business and executive-level stakeholders to translate business problems into high-level analytics solutions. - Extensive experience working with large-scale, complex datasets to develop machine learning, predictive, forecasting, and optimization models. - Proven track record of handling ambiguity, prioritizing needs, and delivering results in a dynamic environment. - Expertise in data management pipelines involving data extraction, analysis, and transformation using data querying languages (e.g. SQL, NoSQL, BQ) or scripting languages (e.g. Python, R) and/or statistical/mathematical software (e.g. R, Matlab, SAS). - Hands-on experience in launching moderate to large-scale advanced analytics projects in production at scale; utilizing Cloud-AI technologies, machine learning frameworks, and enterprise data science platforms. - Ability to explain technical concepts to non-experts, strong analytical skills, attention to detail. - Direct experience in developing analytical solutions empowering business decisions and product creation using various techniques (e.g. Supervised, Unsupervised, Deep Learning, NLP). - Excellent verbal and written communication skills with the ability to convey data through a story framework, present data-driven results to technical and non-technical audiences, and advocate technical solutions to diverse groups. - Master's Degree in a quantitative field such as mathematics, computer science, physics, economics, engineering, statistics, or equivalent job experience. Employee Type: Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.,

As a Client Service Analyst at Numerator, you will play a vital role in supporting sales teams by delivering accurate data outputs and formatting compelling PPT presentations and Excel dashboards based on provided briefs. Your responsibilities will include independently generating precise data outputs through our software, extracting relevant data from various databases, and ensuring the data is appropriately formatted for client and consultant use in PowerPoint, Excel, or Power BI. You will also be responsible for creating customer reports, updating and adapting stories, and home pages as needed. Additionally, you may have the option to perform pre-analysis of output data to streamline consultant support. To excel in this role at Numerator, you must be fluent in both French and English, proficient in written and verbal communication in both languages. Your professional skills should include a strong numerical sense, agility with IT tools and numbers, proficiency in the office suite, and mastery of French at level C2. In terms of soft skills, we are looking for individuals with strong responsiveness, autonomy, organization, rigor, proactivity in process improvement, excellent communication abilities, flexibility, and a keen sense of service. Ideally, you are a recent graduate in data science or statistics with prior experience working with data. Join Numerator in revolutionizing the market research industry and be part of a team that empowers leading brands and retailers with unparalleled insights into consumer behavior and influencers driving it. Let's reinvent the future of market intelligence together.,

As the Head of Data & Analytics at OneMagnify India, you will be responsible for leading and scaling the data function. You will serve as the strategic anchor for both onsite client engagements and offshore delivery. Your role will be pivotal in developing a Center of Excellence (CoE) for Data & Analytics, where you will mentor teams, build capabilities, and drive business growth through valuable analytics solutions. Additionally, you will collaborate with global and India leadership to shape the company's growth journey and identify cross-selling opportunities with key accounts. You bring a wealth of expertise in the entire data lifecycle and analytics field, with a focus on translating insights into tangible outcomes. Leading with influence, you excel in building high-performing and scalable delivery teams. As a strategic operator, you will mentor talent, shape practice direction, and support go-to-market activities. Your collaborative nature thrives in a cross-functional environment, and you strongly believe in India's potential as a capability and innovation hub. Furthermore, your command of AI/ML technologies will be instrumental in integrating advanced data science into marketing and business operations. In your role, you will lead the Data & Analytics practice in India, overseeing both onsite engagements and global in-house delivery. You will guide a team of over 50 onsite and offshore data professionals, promoting technical excellence, collaboration, and continuous improvement. Building, scaling, and optimizing a Center of Excellence for data engineering, reporting, business intelligence, and AI will be key responsibilities. You will act as the primary subject matter expert and escalation point for data delivery in India, providing thought leadership and overseeing delivery operations. Collaborating with global teams, you will identify and enable cross-sell and up-sell opportunities, support pre-sales activities, client pitches, and proposal development for data projects and analytics initiatives. Defining and standardizing best practices for data modeling, quality, automation, and agile delivery processes will be essential. You will also drive internal capability building in advanced analytics, visualization tools, and platforms, while representing OneMagnify India's data capabilities to clients, prospects, and global leadership. Staying updated on emerging AI technologies, data science techniques, and industry innovations will be crucial to driving differentiation in client delivery. To be successful in this role, you should have 15+ years of experience in Data & Analytics, with a proven track record of leading data practices or delivery teams. Your expertise should span BI, reporting, data engineering, and cloud platforms, and you should possess a strong understanding of data lifecycle, analytics frameworks, and agile development. Experience in working with onsite-offshore models in enterprise environments is essential, as is the ability to lead cross-functional teams, mentor talent, and influence executive stakeholders. An entrepreneurial mindset, excellent communication skills, and experience in leading data and analytics teams focused on marketing performance, customer insights, or personalization at scale are also required. Your track record of translating complex analytical findings into actionable business strategies and measurable ROI improvements will be key to your success in this role.,

The job involves driving strategic initiatives to enhance operational efficiency within the engineering service department. You will collaborate with cross-functional teams to analyze and interpret data for decision-making purposes. Your role will also include developing and implementing data models, databases, data collection systems, and other strategies to optimize statistical efficiency and data quality. Identifying trends and generating insights to drive key business recommendations will be a key aspect of your responsibilities. Additionally, you will provide leadership in data analysis and process improvement within the engineering service department. You will assist in preparing and delivering technical presentations to stakeholders to communicate analytical findings and recommendations. It is essential to stay updated on industry best practices and technological advancements to suggest improvements within the team. As a part of your responsibilities, you will lead strategic projects aimed at enhancing operational productivity within the engineering service department. Working collaboratively with various teams to analyze and derive actionable insights from data will be a crucial aspect of your role. You will design and implement data models and databases to enhance statistical efficiency, identify patterns and trends in data to make informed business decisions, and offer guidance on data analysis methodologies and process enhancements. Presenting analytical findings and recommendations through technical presentations will also be a part of your day-to-day tasks. To qualify for this role, you should hold a Bachelor's degree in Engineering, Computer Science, Data Science, or a related field. You must have proven experience in data analysis, statistical modeling, and interpretation within an engineering setting. Strong proficiency in data visualization tools and techniques is required. Excellent communication skills are essential, with the ability to convey complex data insights effectively. Leadership capabilities to drive initiatives and provide guidance in a team environment are also expected. Familiarity with industry-specific tools and technologies for data analysis and process optimization will be beneficial for this position.,

At Medtronic, you can embark on a lifelong career focused on exploration and innovation, all while contributing to the cause of improving healthcare access and equity for all. As part of our team, you will lead with purpose, striving to remove barriers to innovation in a world that is more interconnected and compassionate. We strongly believe that diversity in cultures, genders, and perspectives fosters innovation, benefiting everyone involved. At Medtronic, we practice what we preach by fostering an inclusive culture where you can not only survive but thrive. Our unwavering dedication to inclusion, diversity, and equity ensures that there are no obstacles to opportunities within Medtronic. We strive to create a workplace where all employees feel a sense of belonging, are treated with respect, and are valued for their unique backgrounds and contributions. Recognizing that true equity extends beyond our organization, we are committed to addressing systemic inequities through our communication efforts to ensure a lasting, positive impact. Aligned with our mission, we are dedicated to advancing inclusion, diversity, and equity to enhance the well-being of our employees and to drive innovation that brings life-saving technologies to more individuals worldwide. Join us at Medtronic, an industry leader in medical technology and healthcare solutions. As a market leader experiencing continuous growth, you will have the opportunity to contribute to technologies deeply rooted in our history of mission-driven innovation. Empowered to shape your own career, you will receive the necessary training, mentorship, and guidance to chart a successful path forward. Together, we have the potential to revolutionize healthcare and make a difference in people's lives. Medtronic is committed to nurturing a diverse and inclusive work environment. In the role of a Senior Analyst, you will play a pivotal role in ensuring compliance with the highest security standards across the enterprise. Collaborating with the Senior IT Manager for Strategies and Programs within the Global Cyber and Information Security Office (GCISO), you will be responsible for gathering, analyzing, and interpreting extensive data from various sources to develop comprehensive dashboards that will empower leadership to make informed and strategic decisions. **General Responsibilities:** - Compile and analyze large datasets from multiple sources. - Develop and maintain interactive, user-friendly dashboards and reports using BI tools like PowerBI. - Ensure data accuracy and integrity in all reporting outputs. - Collaborate with stakeholders to identify key metrics and reporting needs to support decision-making processes. - Provide actionable insights and data-driven recommendations to leadership. - Troubleshoot technical issues and offer innovative solutions independently. - Continuously enhance reporting processes, data visualization techniques, and automation to improve efficiency. - Stay abreast of BI tools, best practices, and emerging technologies. - Communicate complex data findings clearly and concisely to both technical and non-technical stakeholders. **Minimum Qualifications:** - Bachelor's degree in Data Science, Information Systems, Computer Science, or a related field. - Demonstrated experience with PowerBI and other BI tools. - Experience in data analysis, reporting, and dashboard creation. - Ability to troubleshoot technical issues and devise innovative solutions. - Familiarity with various data sources and databases (e.g., SQL). - Strong problem-solving skills with a forward-thinking mindset. - Excellent communication skills to convey data insights effectively to diverse audiences. - Experience in a large organization is advantageous. - Knowledge of best data security practices and proactive measures to ensure data security. **Preferred Qualifications:** - Knowledge of data warehousing concepts and tools. - Proficiency in scripting languages for data manipulation. - Familiarity with machine learning models and predictive analytics. - Experience in a large organizational setting. **Senior Level Requirements:** - 7+ years of experience with a bachelor's degree. **Physical Job Requirements:** The above description provides a general overview of the role's responsibilities and skills required, but it is not an exhaustive list. **Benefits & Compensation:** Medtronic offers a competitive salary and flexible benefits package to its employees. Our commitment to our employees is at the core of our values, and we recognize and reward their contributions to our success. We provide a range of benefits, resources, and competitive compensation plans designed to support our employees at every stage of their careers and lives. **About Medtronic:** At Medtronic, we lead the global healthcare technology sector and tackle some of the most pressing health challenges facing humanity by seeking and implementing innovative solutions. Our mission, to alleviate pain, restore health, and extend life, unites a global team of over 95,000 passionate individuals. As engineers at heart, we translate ambitious ideas into practical solutions that benefit real people. From research and development labs to production facilities and meeting rooms, each of us plays a vital role in experimenting, creating, building, improving, and solving. With our diverse talent, perspectives, and courage, we strive to engineer the extraordinary. To learn more about our business, mission, and commitment to diversity, please visit our website.,

You will be joining our team as a Data Scientist where you will be responsible for developing data-backed strategies for demand forecasting, price optimization, and demand elasticity modeling. Your key responsibilities will include: - Developing advanced time-series or machine learning models to predict demand at SKU, category, and regional levels by analyzing historical sales, seasonality, promotions, and market trends. - Building dynamic pricing models to determine optimal price points considering competitor analysis, elasticity, and inventory positions to enhance revenue and margins. - Analyzing the impact of price changes on consumer demand across segments using statistical techniques and machine learning. You will work closely with product, merchandising, finance, and marketing teams to incorporate insights into business decisions. Additionally, you will automate data pipelines, create dashboards for stakeholders to visualize forecasts and pricing scenarios, and conduct A/B testing and simulation modeling to validate forecasting and pricing strategies. To be successful in this role, you should have: - A Bachelor's or Master's degree in Data Science, Statistics, Economics, Applied Mathematics, or a related field. - At least 3 years of experience in retail analytics, pricing science, or demand forecasting. - Proficiency in Python/R, SQL, and relevant libraries such as Scikit-learn, Statsmodels, Prophet, and XGBoost. - Knowledge of econometrics, elasticity models, and optimization techniques. - Strong communication skills to convey complex insights to non-technical stakeholders. Preferred qualifications include experience in the fashion, footwear, or consumer goods industry, familiarity with supply chain and inventory dynamics in retail, and knowledge of reinforcement learning or revenue management frameworks.,

As an individual contributor at Adobe, you will play a pivotal role in driving innovation and shaping the future of digital experiences. Adobe is dedicated to fostering a work environment where every employee is valued, respected, and provided with equal opportunities. Your insights and ideas are highly valued as we strive to build exceptional products and services that cater to a global audience. The opportunity at hand involves working on a cutting-edge Component Content Management System that powers structured content for large enterprises. In this role, you will collaborate with cross-functional teams to identify key project interfaces and implement complex Machine Learning (ML) solutions using technologies such as Natural Language Processing (NLP), Generative AI, and Transformer architectures. Your responsibilities will include developing, evaluating, and deploying scalable ML models, monitoring their performance, and continuously enhancing Adobe's products and services. To excel in this role, you should possess a master's degree or equivalent experience in Machine Learning, with a minimum of 10 years of combined industry experience in ML, software engineering, and data engineering. Proficiency in Python, ML frameworks like PyTorch and TensorFlow, as well as strong programming skills in languages such as Python and Java, are essential. Additionally, you should have a solid understanding of ML Ops, data analysis, and mining using frameworks like Hadoop and Spark. Your ability to drive innovation, collaborate effectively, and adapt to an ever-evolving technological landscape will be crucial in this role. Strong problem-solving skills, excellent communication abilities, and a passion for staying abreast of the latest technological advancements are highly valued. In this dynamic and fast-paced environment, you will have the opportunity to contribute to the growth and success of Adobe while working alongside a diverse and inclusive team. If you are seeking a challenging yet rewarding opportunity to make a significant impact, Adobe is the place for you. Join us in creating exceptional digital experiences and pushing the boundaries of innovation. Explore the possibilities of a career at Adobe by updating your profile and applying for roles that align with your expertise and aspirations. Your journey towards professional growth and accomplishment starts here.,

As a Data Scientist, you will be responsible for analyzing large and complex datasets to identify trends, patterns, and insights. Your main tasks will include developing and implementing machine learning models for prediction, classification, and clustering using Python libraries such as scikit-learn, TensorFlow, or PyTorch. Additionally, you will perform statistical analysis and hypothesis testing to validate findings and draw meaningful conclusions. Your role will also involve designing and implementing data visualization dashboards and reports using Python libraries like Matplotlib, Seaborn, or Plotly to effectively communicate insights. Collaboration with cross-functional teams to understand business requirements and translate them into data science solutions is a key aspect of this position. You will also be responsible for building and deploying scalable data pipelines using Python and related tools. To excel in this role, you should have proven experience as a Data Scientist or in a similar role, ideally with 2+ years of experience. Strong programming skills in Python and familiarity with relevant data science libraries such as Pandas, NumPy, and Scikit-learn are essential. A solid understanding of statistical concepts, machine learning algorithms, and data modeling techniques is required. Furthermore, experience in data visualization using Python libraries like Matplotlib, Seaborn, and Plotly is important. You should be adept at working with large datasets, performing data cleaning, preprocessing, and feature engineering. Strong problem-solving and analytical skills are also crucial for success in this role. Excellent communication and presentation abilities are necessary to effectively communicate complex data insights and findings to both technical and non-technical audiences. A Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related area is preferred. Experience with big data technologies like Spark and Hadoop, familiarity with cloud platforms such as AWS, Azure, and GCP, and knowledge of deep learning frameworks like TensorFlow and PyTorch are all valuable assets. Additionally, experience with database technologies (SQL and NoSQL) and deploying machine learning models into production will be beneficial for this role. Stay updated with the latest advancements in data science, machine learning, and Python libraries to continuously enhance your skills and knowledge.,

Do you want to be part of a team that delivers innovative products and machine learning solutions across Microsoft to hundreds of millions of users every month Join the Microsoft Turing team, an innovative engineering and research team working on cutting-edge deep learning models and conversational search experiences. The team leads the platform and innovation for conversational search and core copilot experiences across Microsoft's ecosystem, including BizChat, Office, and Windows. As a Principal Applied Science Manager in the Turing team, you will be involved in multiple hands-on data science activities with tight timelines. This includes training models, creating evaluation sets, building infrastructure for training and evaluation, and more. You will collaborate with internal and external data science, product, and engineering teams across time zones. Microsoft's mission is to empower every person and organization on the planet to achieve more. We embrace a growth mindset, innovate to empower others, and collaborate to achieve our shared goals. We uphold values of respect, integrity, and accountability to create an inclusive culture where everyone can thrive. Responsibilities As a Principal Applied Science Manager, you will: - Drive projects from design through implementation, experimentation, and shipping to users by deep diving into data, identifying gaps, creating models, and setting up infrastructure. - Manage a team of applied scientists, assign tasks, mentor them, and take responsibility for their growth and output. - Document progress, assist junior team members, and come up with evaluation techniques, datasets, and metrics for model evaluations. - Own the fine-tuning and use of language models, including dataset creation, filtering, review, and continuous iteration. You will work in a geographically distributed team environment where collaboration and innovation are key. Your work will directly impact the design, functionality, security, and scalability of Microsoft products using deep learning technology. Qualifications Required Qualifications: - Bachelor's, Master's, or Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field with relevant years of experience. - People management experience. - Industrial experience coding in C++, C#, C, Java, or Python. - Prior experience with data analysis, machine learning frameworks, and deep learning concepts. - Ability to communicate technical details clearly across teams. Preferred Qualifications: - Master's or Doctorate in related fields with additional years of experience. - People management experience. Join us at Microsoft and be part of a team that values collaboration, innovation, and continuous learning. Your contributions will shape the future of technology and empower users worldwide.,

You will be joining Quantic Tech Analysis Private Limited in Chennai as a full-time Junior Computer Vision Engineer. Your primary responsibility will be to work on pattern recognition, computer science, data science, and computer vision tasks to assist in the creation of cutting-edge solutions. You should have strong Python programming skills and a background in pattern recognition and computer vision. Ideally, you should possess expertise in robotics, computer science, and data science. A solid foundation in computer vision algorithms and applications is required for this role. A Bachelor's or Master's degree in Computer Science, Engineering, or a related field is preferred. Additionally, experience with AI and machine learning technologies is beneficial. The ability to collaborate effectively within a team environment is essential for success in this role.,

As a Computer Science (BCA/MCA) Department Faculty, your primary responsibility will be to prepare curriculum and instruction for the department. You will need to plan and execute various department events and activities while mentoring students in their academic achievements and prospects. Your role will involve delivering Classroom Lectures and Lab Sessions on core Computer Science subjects such as Programming (Android/Java/Python/Unix), DBMS, OS, and Networks. Additionally, you will be arranging guest lectures and workshops to enhance the learning experience for students. It will be your duty to formulate a well-balanced academic program that fosters research and meets the industry's requirements. You are expected to promote scholarly excellence that leads to practical products and services for the marketplace and society. Adopting the best practices from leading universities and corporations worldwide will also be part of your responsibilities. Your leadership will play a crucial role in earning recognition for the department through participation in conferences, events, and competitions. Furthermore, you will establish a robust internship and placement program within the department to enhance students" career prospects. Other responsibilities include financial planning, resource allocation, performance evaluations, and fostering a vibrant work culture within the department. Qualifications & Experience: - Bachelor or Master's degree in Computer Science, Engineering, or a related field. - Proven software development experience in programming languages like Android, Java, Python, Unix, DBMS, OS, and Networks. - Working experience in advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML), Blockchain, Cybersecurity, Data Science, and Cloud Computing will be advantageous. - A doctoral qualification or equivalent expertise in the relevant discipline is a plus. - A minimum of 2-10 years of teaching experience in a reputable institution with a proven track record is required for this position.,

The Computer Science and Engineering Expert position at KPR Institute of Engineering and Technology is an exciting opportunity to become a part of our esteemed team of educators. Located in Coimbatore, India, KPRIET is a globally connected engineering institute that emphasizes industry-informed teaching and innovative research. We are dedicated to enhancing the skills and knowledge of our students to meet the evolving global needs and nurture professionals who can adapt to change. Our graduates are equipped to be global citizens who can positively impact society. We are currently looking for candidates for the following designations: - Professor - Associate Professor - Assistant Professor Specializations in the following areas are highly sought after: - Artificial Intelligence - Machine Learning - Data Science - Cybersecurity - Blockchain To be considered for this position, applicants must meet the following requirements: - Possess a M.E./M.Tech or Ph.D. degree; candidates with MCA or M.Sc qualifications are not recommended to apply. - Demonstrate an outstanding track record in academics or industry, along with publications in reputable journals. - Candidates with proficiency in multiple languages and those hailing from Jammu & Kashmir, Punjab, Himachal Pradesh, and the North Eastern states of India are given preference. - Qualifications and experience should align with AICTE norms. The salary for this position will be commensurate with the candidate's qualifications and experience. Join us at KPR Institute of Engineering and Technology and be a part of our mission to develop skilled professionals who can meet global demands and contribute positively to society.,