Top Data Science Jobs in India

The Tax & Compliance Senior Associate will handle tax assessments, oversee reporting and compliance, coordinate with vendors on tax litigation, and execute complex tax assignments.

Design and implement technical features, collaborate with clients, write production-ready code, ensure quality deliverables, mentor team members, and implement ML models on large scale.

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

The role involves enhancing developer experience through AI/ML products, collaborating with technical teams, and leading product strategy and execution.

The Senior Associate, Data Science & AI delivers insights and AI analytics tools for Pfizer's Commercial organization, focusing on modeling, segmentation, forecasting, and effective communication of findings.

The Data Science Manager will lead the Life Sciences R&D team, designing ML solutions, developing strategies, and managing projects while driving innovation and client relationships.

Support the development of analytic solutions for credit risk management through consulting and research, leveraging statistical and machine learning methodologies.

The Advanced Data Science Associate Consultant will develop algorithms, execute statistical techniques, collaborate with clients, and integrate engineering principles into data science workflows.

The Manager, Analytics & Data Science will oversee analytics initiatives, develop solutions for risk management, and communicate insights effectively to stakeholders.

Perform data analysis, build and optimize data pipelines, develop analytical solutions, collaborate with cross-functional teams and external partners, and support automation and process improvements for credit risk analytics.

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

Lead and mentor a data science team, develop ML solutions, drive AI/ML initiatives, ensure model performance and fairness, and foster innovation.

Lead the development of advanced analytics solutions for media marketing optimization, drive strategic decisions, and mentor a team in data science and analytics.

Lead development and implementation of AI-driven audit solutions using data analytics, enhancing risk management and continuous auditing programs.

The role involves data handling and wrangling, generating reports, and supporting clients with quantitative analytics and business decision improvements.

The Senior Analyst delivers data science solutions, leads sales meetings, develops team objectives, fosters client relationships, and communicates insights.

Deliver analysis aligned with client objectives, develop data science solutions, lead sales meetings, train teams, and build client relationships.

The Account Manager in Data Science will develop data-driven solutions for clients, lead sales interactions, and maintain client relationships to ensure performance targets are met.

Develop custom software solutions, enhance data landscapes, implement cloud architectures, and ensure robust data management practices in a collaborative environment.

The Senior Analyst will deliver data science solutions, lead client meetings, set training objectives, and build client relationships to enhance performance and drive growth.

The Senior Analyst develops data science solutions for marketing, leads sales meetings, fosters client relationships, and communicates insights to drive business value.

The Principal Research Scientist will engage with customers on dynamic pricing, utilize data science to enhance revenue management, and develop internal networks to support business growth while coaching junior team members.

The Data Science Manager will lead AI/ML solution development for clients in Supply Chain & Manufacturing, mentor data scientists, and drive business development efforts.

The role involves developing advanced algorithms, applying statistical techniques, and collaborating with clients to analyze data trends and emerging technologies.

This role involves delivering data science solutions aligned with client goals, leading analyses, fostering client relationships, and developing team capabilities.