Top Data Science Jobs in India

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

As a Clinical Data Science Lead, you will manage data science projects in clinical trials, design strategies for data analysis, and mentor team members.

The role involves providing strategic advisory services, conducting market research, and developing data-driven recommendations for business performance, mainly in the Telco domain.

Lead applied data science and ML engineering across regulated financial domains. Define AI/ML roadmap, build production-grade models (anomaly detection, forecasting, drift detection), own full model lifecycle from feature engineering to monitoring, ensure explainability and regulatory compliance, and mentor other data scientists while collaborating with engineering and product teams.

Lead development of AI/ML models for risk identification in compliance, manage data compliance framework, mentor teams, and enhance analytics capabilities.

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

The Senior Manager, Data Science and Analytics will develop machine learning models, collaborate with teams, and enhance customer outcomes through data-driven solutions in a regulated financial environment.

The Senior Manager will develop statistical models using SAS, optimize data processes, and provide insights through collaboration with cross-functional teams.

The role involves developing machine learning models, collaborating with teams to identify opportunities, translating business questions into tasks, and ensuring model compliance and performance tracking.

The Lead Clinical Data Science Programmer designs and develops clinical data solutions, ensuring efficient handling and analysis of trial data while collaborating with teams to drive insights for innovative therapies.

Lead data science initiatives for marketing: develop and deploy predictive and prescriptive models, drive marketing-spend and promotion optimization, translate business problems into hypotheses, perform quantitative analysis, present insights, and apply cloud, statistical, and ML best practices to deliver scalable solutions.

The role involves analyzing data to drive strategic decisions and improve employee benefits services. Requires strong analytical skills and experience in data science.

The Clinical Data Programmer designs and develops clinical study databases, ensuring data compliance and quality through collaboration and process improvement.

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

The Sr Principal Engineer will lead AI/ML strategies, develop solutions for business problems, and work with data scientists to implement ML models.

The job responsibilities and qualifications were not elaborated in the description provided. It primarily involves information related to releasing a proactive offer for a candidate.

Lead the development of AI models for medical imaging, working with cross-functional teams to implement cutting-edge computer vision techniques and ensure compliance with regulatory standards.

The AI/Data Science Engineer II will design and build data pipelines, manage cloud data infrastructure, ensure data quality, and collaborate on technical solutions while leveraging innovative data tools.

Lead a team of ML engineers and data scientists, overseeing the design and deployment of machine learning models for life sciences applications while ensuring GxP compliance and technical governance.

The role involves developing data-driven strategies and managing client analytics, while leading team development and integrating datasets.

Develop and implement data science and ML models for Supply Chain, translate business problems into testable hypotheses, perform quantitative analysis and data mining, present insights and visualisations to partners, ensure robust, governed AI solutions, and support CI/CD and MLOps deployment to drive business outcomes.

The role involves developing ML and AI solutions for sales analytics, translating commercial challenges into analytical problems, and delivering insights to improve decision-making. It requires collaboration with commercial teams and the use of advanced models for sales forecasting and optimization.

This role involves developing AI and ML solutions to enhance decision-making and operational efficiency in finance and HR, leveraging data insights for strategic analysis and predictive modeling.

The Senior Manager of Data Science leads analytics projects, manages teams, develops data models, and communicates insights to executives.

Lead the data science roadmap, developing machine learning and AI solutions. Manage a team and collaborate across functions to enhance customer experience and business decisions.