Top Data Science Jobs in India

The role involves developing smart manufacturing applications, deploying data science strategies, providing technical consulting, and analyzing large datasets using machine learning.

Lead and mentor a data science team, develop ML solutions, drive AI/ML initiatives, ensure model performance and fairness, and foster innovation.

The Advanced Data Science Associate Consultant will develop algorithms, execute statistical techniques, collaborate with clients, and integrate engineering principles into data science workflows.

Lead and manage customer analysis deep dives, execute strategies from senior leadership, manage client communication, and mentor analysts.

Lead the Sales Engagement product area: define vision and roadmap, conduct customer discovery, write requirements, partner with engineering/design/data science, ship features, and track success metrics to improve AI-powered revenue intelligence.

Own the Sales Engagement product area within the Predictive Revenue Platform: define vision and roadmap, partner with engineering/design/data science, conduct customer discovery, write requirements and user stories, prioritize features, and define and track success metrics to drive continuous improvement.

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

The Technology & AI Manager leads technology and AI initiatives, developing roadmaps, implementing solutions, and enhancing operational efficiency through analytics and machine learning.

Drive enterprise sales growth across India by generating new business and expanding strategic accounts. Sell complex HR, L&D, assessment, and analytics solutions to C-suite buyers, advise on workforce transformation, collaborate cross-functionally, forecast using data, and represent the company at industry events. Manage long, multi-stakeholder deals and travel up to 40%.

The VP, SEO will architect and scale SEO practices, drive organic search innovation, enhance tools, and lead strategic growth for Tier 1 clients, focusing on AI and GEO.

The Account Manager - Data Science develops data science solutions, leads sales meetings, builds client relationships, and communicates insights to exceed client performance targets.

The Analyst-Data Science role involves developing predictive models, analyzing data for insights, and driving profitable decision-making in risk and fraud management at American Express.

The Data Scientist applies data science principles to solve problems through data analysis and project management, working under limited supervision.

Evaluate AI-generated technical content, craft and answer advanced ML/AI prompts, assess model responses for accuracy, relevance, and clarity, identify errors or hallucinations, and provide feedback to improve AI systems.

Manage full-cycle recruitment for technical roles, partner with hiring managers, and develop sourcing strategies to attract top talent in AI and data-centric fields.

The Engineering Director leads AI COE Engineering and Program Management, overseeing AI implementation, program leadership, strategic execution, and interdisciplinary collaboration to drive innovative healthcare solutions.

The GenAI Product Lead will drive product strategy and execution for AI-enhanced offerings, ensuring commercial success across EMAP by embedding Generative AI capabilities and managing cross-functional collaborations.

Lead data transfer and integration processes, implement data quality frameworks, and collaborate with teams to enhance data operations. Monitor and analyze data activities for improvement.

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

The Account Manager delivers data science solutions tailored to client needs, leads sales meetings, fosters client relationships, and communicates insights.

Lead the strategy, roadmap, and delivery of AI/ML products and platforms. Drive cross-functional squads through discovery, delivery, and adoption; translate business needs into technical requirements; manage dependencies, technical debt, and metrics; mentor PMs; demo prototypes; and collaborate with engineers and data scientists to deploy and optimize ML solutions.

Lead AI/ML product development: own backlog and roadmap, translate business needs into shippable increments, collaborate with engineering, data science and platform teams, track product performance, run squad ceremonies, demo AI products, and integrate ML solutions into business processes.

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

Lead strategy and delivery for an AI-powered claims decision-support and auto-adjudication platform. Define vision and roadmap, manage a team of product managers, partner with business, engineering, and data science, and drive adoption, impact measurement, and executive-level communication across a complex, matrixed enterprise.

Owns GoSilico product lifecycle and commercial performance, defines and executes data-driven productization, leads VOC and market segmentation, builds cross-functional stakeholder alignment, creates value-selling enablement, and manages initiative-level P&L to drive adoption of digital modelling and data products.