Top Data Science Jobs in India

As a Senior Engineer for Large Language Models, you will create GenAI applications, develop RAG-based pipelines, and optimize prompt engineering.

The Principal Product Manager will strategize and lead teams to enhance Jira Platforms, focusing on user research, product scaling, and performance metrics, collaborating with engineering and data teams.

Develop advanced algorithms, utilize machine learning and statistical techniques, and collaborate with clients while assessing new datasets and technologies.

Manage accounting and budgeting functions, ensure timely completion of audits, coordinate tax assessments, and implement process improvements in collaboration with global stakeholders.

The Tax & Compliance Senior Associate will coordinate tax assessments, oversee tax reporting and compliance, lead complex tax assignments, and manage vendor coordination for tax litigation.

The Associate manages financial analysis, budgeting, and reporting on occupancy expenses, ensuring effective communication with stakeholders and delivering strategic insights to enhance profitability.

The Data Scientist will design and implement machine learning models, perform statistical analysis, collaborate on data requirements, and support model deployment and monitoring.

The Data Analyst will conduct product analyses, build predictive models, clean and manage datasets, and communicate findings to various stakeholders.

Lead data science and AI projects in a fast-paced environment, leveraging advanced analytics, machine learning, and collaboration to drive strategic decisions in the pharma industry.

The Manager, Data Science & AI will lead projects to extract insights from complex data, implement analytics pipelines, and drive strategic decisions using advanced statistical analysis and machine learning techniques.

Develop efficient algorithms, utilize machine learning and statistical techniques, collaborate with clients, and assess new data technologies.

As an Advanced Data Science Associate, you'll develop advanced algorithms, apply statistical techniques, and collaborate with clients to communicate analysis findings.

Lead the development of AI and ML solutions for compliance and risk management by leveraging advanced analytics, data modeling, and cross-functional collaboration.

As a Responsible AI Manager, you will consult with clients on developing reliable AI systems focusing on fairness, interpretability, privacy, and security. Responsibilities include collaborating on frameworks, conducting research, ensuring compliance with Responsible AI principles, and thought leadership.

As a Responsible AI Specialist, you will consult with clients to design user-centered AI systems, ensuring fairness, transparency, and accountability in AI applications. Responsibilities include research on Responsible AI practices, collaboration to develop best practices, and providing thought leadership in the field.

The Responsible AI Specialist consults on designing user-centered AI systems, conducts research on Responsible AI practices, and develops frameworks for implementation in enterprises. They ensure AI systems adhere to fairness, interpretability, and accountability principles.

The role involves consulting on Responsible AI to develop reliable, user-centered AI systems, conducting research, and implementing best practices with a focus on fairness and ethics in AI. The candidate will lead the Responsible AI team, engaging with clients and experts to advance responsible AI applications.

Responsible for credit policy strategies in unsecured lending, partnering across teams to implement and validate strategies, manage risk, and report performance to senior management.

The Data Scientist will analyze data to generate insights using statistical methods and machine learning techniques, contributing to risk and strategy solutions.

Lead a team in defining the technical direction for data science projects, focusing on Generative AI and machine learning to drive organizational vision.

Principal Data Scientist I will lead analytic projects, oversee coding and data management, mentor small teams, and ensure high model development standards while applying domain expertise.

The Product Manager II will create a groundbreaking ad platform connecting merchants and banks, developing strategies and roadmaps, and collaborating with various teams to launch products effectively.

Lead the development of core platform features, ensuring a user-centric experience for data scientists and analysts. Collaborate with teams to align product strategy with business goals, focusing on feature enhancement and stakeholder communication.

The Marketing Head will lead brand-building and marketing initiatives for a healthcare network, influencing strategies and enhancing patient engagement across India.

Develop and design learning paths and courses in various technical domains, authoring materials and assessments while collaborating with team members.