Top Data Science Jobs in Delhi

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

The Solution Architect will lead a team of IT Engineers, design technical solutions, validate architectures, provide guidance, and create technology roadmaps.

The Senior Analyst develops data science solutions based on marketing problems, leads sales meetings, trains teams, and builds client relationships to enhance performance and business growth.

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

The Senior Analyst develops data science solutions for marketing problems, leads sales presentations, sets team objectives, builds client relationships, and communicates insights.

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

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

The Manager, Analytics & Data Science will oversee analytics initiatives, develop solutions for risk management, and communicate insights effectively to stakeholders.

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

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

The role involves leading tech project management for theft detection initiatives, collaborating with executives, and coordinating cross-functional teams to ensure project success.

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

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

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.

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.

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.

The role involves onboarding external candidates for a data science position within AI & ML, focusing on data science responsibilities.

Lead the development of data products and analytical models by integrating datasets, collaborating with engineering teams, and conducting data analysis for business solutions.

The role involves leading data science and IoT projects, managing data engineering, data governance, and ensuring robust integration pipelines. Strong expertise in data lineage and modern data stacks is required.

The Principal Engineer, Data Science role involves leading data science projects and providing strategic insights using extensive IT experience.

The Senior Staff Engineer, Data Science role involves guiding team direction, solving complex challenges for clients, and leveraging technical expertise to innovate solutions.