Top Data Science Jobs in India

Leverage quantitative skills to derive analytical solutions for clients, manage data evaluation, and lead commercial analytics engagements focused on sales effectiveness.

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

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.

Design and implement clinical data management solutions, lead business process discussions, mentor junior staff, and support delivery in regulated programs.

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

The Decision Analytics Associate will conduct research, data extraction, and analysis while supporting HEOR projects and collaborating with team members to improve processes and deliver client-focused solutions.

The Director of Product Management at Capital One leads the MLX team to develop machine learning-driven products, align with business leaders, and manage product managers. The role involves strategic thinking, customer focus, and collaboration within an Agile environment.

The Senior Manager of Product Management leads the MLX team to develop AI-driven products, ensuring alignment between technology and business goals while engaging with data scientists and engineers to enhance customer experiences.

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

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.

The Senior Associate, Data Science & AI will deliver data-driven insights and AI-powered analytics tools, develop predictive models, support marketing analytics, and collaborate across teams to drive commercial decision-making in pharmaceuticals.

Lead the execution and interpretation of AI/ML models, design advanced analytics, and collaborate with teams to deliver insights for commercial decision-making.

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

This role involves developing credit risk management and business intelligence solutions, requiring strong analytical skills and proficiency in statistical programming languages.

The Engineering Manager will lead AI & ML initiatives focused on data collection, overseeing technical projects and developing a high-performing team. Responsibilities include providing technical direction, mentoring staff, ensuring system reliability, and maintaining data integrity and security. The role requires expertise in NLP and data processing with an emphasis on collaborative leadership and continuous innovation.

As a Senior Databricks Engineer, you will design, build, and optimize a high-performance data infrastructure across Azure, AWS, and Databricks while developing data pipelines and managing CI/CD automation.

The Senior Manager, Advanced Analytics Translator leads analytics and performance initiatives, collaborates across functions, and develops analytic strategies to drive business value through data insights.

As an Intelligence Analyst, you will create intelligence assessments on global security issues and support national security decision-making by fusing AI-derived data with open-source information. Responsibilities include producing assessments, briefings, and collaborating within an intelligence team.

As Director, lead applied research initiatives, setting vision, managing teams, and ensuring ML models transition into production with measurable impact.

The Senior Data Analyst role involves transforming complex data into insights, collaborating with teams, and utilizing SQL and Python for data analysis and visualization.

The Senior Analyst will deliver analysis aligned with client objectives, develop data science solutions, lead meetings, and build client relationships.

Lead the development of advanced data science models and algorithms, ensure data quality, mentor junior scientists, and collaborate with stakeholders.

Lead the design, build, and configuration of applications, facilitating collaboration across teams and guiding project milestones while ensuring alignment with organizational objectives.

Lead the design, build, and configuration of applications, ensure project milestones are met, and engage in strategic planning with multiple teams.