Top Data Science Jobs in India

The Engagement Manager will lead client workshops, drive analytics roadmaps, and liaise with clients to provide solutions in life sciences consulting.

The Engagement Manager will drive business-analytics execution, lead client workshops, develop strategic recommendations, manage client relations at a senior level, and contribute to organization building through mentoring and training.

The role requires applying data science principles to solve complex problems, contributing to the development and deployment of data science solutions, and provides insight based on data analysis.

The Proposal Leader drives strategy and governance for complex proposals, aligning solutions with client outcomes and improving win rates in ServiceNow consulting deals.

The Data Scientist will analyze and model data for ML systems, focusing on Personalization and Recommendation Engines, and collaborate with teams to enhance data-driven solutions.

The Director will lead a team of Data & AI specialists, overseeing technical support and ensuring successful customer operations on the Databricks platform.

The Business Development Director will identify new business opportunities in Real-World insights, engage clients, develop proposals, and contribute to strategic planning while collaborating across teams.

The Sr. Technical Architect will lead technical teams in implementing and integrating Blue Yonder solutions, ensuring quality and adherence to best practices.

The Engagement Manager will drive execution of business-analytics roadmaps, lead workshops, define business problems, and manage client relations. This role combines hands-on contributions with team and customer management.

The Associate Director - Account Management will manage customer accounts, drive revenue growth, and ensure customer success for Fortune 1000 companies, while implementing account management strategies and leading a team.

The Scrum Master will lead Data Science teams, facilitating Scrum events, coaching team members, and ensuring delivery performance while promoting Agile practices in a research-driven environment.

The Data Scientist applies data science principles to solve diverse problems, manages projects, and leads research with limited complexity. They analyze data to provide innovative solutions.

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

Lead a team of engineers in developing financial services, collaborating with stakeholders to build effective systems, and fostering a culture of innovation and excellence.

The Data Scientist will develop enterprise solutions, implement data strategies, create financial analytics workflows, and employ machine learning for data management and analysis. Responsibilities include building POCs, working with cross-functional teams, and handling data processing and automation tasks.

Lead the design and implementation of AI and machine learning solutions, mentor junior staff, and ensure solutions meet business needs.

As a Data Scientist, you will develop pricing optimization models, analyze customer behavior, and deploy AI/ML models while collaborating across teams.

Lead the architecture and implementation of agentic AI systems: multi-agent orchestration, real-time integrations, STT/NLU ingestion, LLM fine-tuning and RAG pipelines, governance and human-in-the-loop controls, and scalable, low-latency platform design to enable proactive incident triage and automated investigations.

As a Data Science & Network Researcher, you will develop AI models, analyze network data, collaborate with engineers, and enhance products with data-driven insights.

The role involves conducting quantitative research and analysis using benchmarking data, creating custom research deliverables, and collaborating with teams to provide insights for senior executives.

The Data Science Engineer will develop AI solutions, manage data science pipelines, and implement embedded vision software for transit applications.

The Data Science Manager will lead a team to drive AI/ML initiatives, develop and deploy scalable ML solutions, and manage projects from ideation to production.

Lead data science projects, applying advanced statistical techniques and machine learning algorithms to derive insights and predict outcomes.

Lead design, develop, and maintain scalable Python backend applications and data pipelines. Mentor engineers, conduct code reviews, troubleshoot performance issues, participate in architecture and full SDLC, and improve engineering processes.