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 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.

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.

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

The Manager will develop strategies for Insights and Analysis, manage analytics teams, communicate insights to clients, and ensure team development and training.

The Senior Client Solutions Partner will drive sales of Data Science solutions to Enterprise clients, build business cases, architect solutions, mentor teams, and lead data strategy discussions.

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

This role involves applying data science methods to provide insights, managing analytics engagements, and developing team strategies and training objectives.

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

The role involves providing leadership in data science projects in order to drive innovation and deliver value through data-driven insights.

As a Senior MLOps Engineer, you will collaborate with data science and engineering teams to manage ML pipelines, monitor models, and deploy solutions in the cloud.

The Senior Data Scientist will enhance the predictive modeling capabilities of Lyric's platform, focusing on machine learning and statistical methods for supply chain optimization.

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 User Researcher will lead research projects from discovery to synthesis, using various methods to gain insights that improve products while collaborating with stakeholders.

This role involves leading a Data & Analytics team, delivering advanced analytics solutions, engaging with stakeholders, and simplifying complex data for decision-making.