Top Data Science Jobs in Delhi

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.

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

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

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.

The role involves the proactive offer release for a Principal Solution Architect focusing on AI and Machine Learning.

Lead and manage customer analysis projects, mentor analysts, apply data science methods, and communicate insights to clients.

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.

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

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

This role involves delivering data science solutions for clients, leading meetings, setting team objectives, and building client relationships to enhance performance and growth.

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.

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 Senior Staff Engineer will lead Data Science projects, architect systems, mentor team members, and ensure code quality while delivering impactful solutions.

Lead the design and deployment of AI/ML solutions focused on sustainability, mentor teams, engage clients, and ensure adherence to responsible AI principles.

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.

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

Lead AI transformation initiatives by developing architectures, managing cross-functional teams, and ensuring compliance in BFSI environments. Engage with C-level stakeholders to align AI solutions with business objectives.