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.

As a Senior Product Manager, you'll lead feature shipping for Customer Observability, drive product strategy, and collaborate with engineering, data science, and design teams.

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

The Senior Manager, Product Management oversees product strategy and execution within the Machine Learning Experience team, focusing on AI and ML products. Responsibilities include stakeholder collaboration, product vision development, and using data-driven insights to enhance customer experience.

Lead the design and delivery of complex ServiceNow solutions, focusing on integrating AI and optimizing enterprise processes, while mentoring teams and influencing stakeholders.

Manage a variety of data science projects, collaborating with teams to deliver complex solutions while ensuring alignment and clear communication of project status.

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

The Data Scientist will analyze complex datasets, support client decision-making with advanced analytics, and mentor junior analysts. Key responsibilities include generating reports, collaborating on marketing projects, and ensuring data integrity.

Manage a data science and analytics team, focusing on machine learning, NLP, deep learning applications, and cloud technologies. Lead projects involving tuning and evaluation of language models and AI workflows.

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.

Design and deploy machine learning models, analyze data, collaborate with teams, and explore advances in AI and data science.

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

Lead the development of advanced data science models while ensuring data quality, mentoring junior scientists, and collaborating with stakeholders.

Develops strategies for insights and analysis, manages analytics engagements, communicates findings, and sets team training objectives.

The Data Scientist will leverage AI and machine learning expertise, focusing on Generative AI and LLMs, to develop innovative solutions and POCs across industries.

This role involves leading analytics engagements, applying data science methods for insights, managing team development, and keeping up with industry trends.

The Senior Cybersecurity Specialist will ensure compliance with security standards, analyze data, develop dashboards, and provide insights to leadership while maintaining data integrity and security.

The role involves leading AI and Machine Learning projects, developing data-driven solutions, and applying analytical methods to optimize business strategies.

This role focuses on managing analytics engagements, applying data science methods to provide client insights, and developing team capabilities.

Responsible for maintaining and enhancing cybersecurity infrastructure, conducting security reviews of AI/ML pipelines, analyzing threats, and collaborating with data science teams to implement secure AI practices.

The Manager will develop strategies for Insights and Analysis, manage analytics engagements, train the team, and communicate insights to clients.