Top Data Science Jobs in Delhi

The Head of Generative AI and Innovation will drive the strategy and development of generative AI solutions, manage teams, implement solutions, and ensure ethical governance.

Lead onboarding and activation strategies, enhance user experiences, drive conversion rates, run data-driven experiments, and mentor PM teams.

The Senior Product Manager will drive AI-led innovation, define AI product strategy, ensure compliance with responsible AI principles, and collaborate across teams to deliver impactful AI features.

As a Data Engineer, you will analyze and enrich structured and unstructured data, enhance data quality, and develop insights for financial strategies.

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.

As an Associate Product Manager, you will manage product development cycles, collaborate with engineering and operational teams, evaluate partnerships, and prioritize projects to improve customer adoption.

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 Product Owner is responsible for the product vision, roadmap, and stakeholder alignment in delivering enterprise data products. This includes managing backlogs, ensuring product adoption, establishing governance, and maintaining high-quality standards.

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

Deliver analysis supporting client objectives through data science solutions; lead meetings, build relationships, and communicate insights for growth.

The role involves delivering data science solutions to clients, leading sales meetings, building relationships, and setting team development goals.

The role involves developing data science solutions to meet client objectives, leading presentations, training the team, and building client relationships.

Lead and manage customer analysis, mentor analysts, conduct data preparation, apply data science methods, and communicate findings to clients.

Lead and manage customer analysis deep dives, execute strategies from leadership, communicate with clients, and mentor a team of analysts.

The Lead Analyst leads customer analysis, manages a team of analysts, conducts data preparation, and provides insights using data science methods.

Lead and manage customer analysis, mentor a team of analysts, and apply data science methods to provide insights to clients.

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

Lead Analyst responsible for managing customer analysis, mentoring a team, applying data science methods, and delivering insights to clients.

The Lead Analyst leads customer analysis, manages a team of analysts, applies data science methods, and communicates insights to clients.

Lead AI and data innovation by developing ML models, optimizing data systems, and mentoring junior team members in a collaborative team environment.

As a Product Engineer, you will ensure quality and usability of geospatial AI tools, design test plans, validate software, and document technical processes.

The role involves leading data science projects focusing on predictive modeling and optimization, specifically using machine learning and cloud technologies. It requires collaboration with clients to translate business needs into technical solutions, including design architecture and guidelines, while managing project standards and ensuring best practices are followed.

The Associate Principal Engineer in Data Science will lead predictive modeling and optimization projects, implement machine learning solutions, and ensure adherence to best practices in architecture and design while collaborating with cross-functional teams.

Lead and manage the AI & Data Science function, set technical strategy, deliver AI solutions, collaborate across teams, and communicate impact to stakeholders.