Top Data Science Jobs in India

The internship involves developing and deploying features for an R Shiny application using healthcare data, focusing on data transformations and interactive visualizations.

Lead data science initiatives, working with senior leaders to drive innovation and manage a team. Responsible for strategy, execution, and stakeholder collaboration.

Seeking an experienced Data Scientist skilled in NLP and forecasting, proficient in Python and SQL, and familiar with cloud technologies to drive data insights and model development.

The Data Science Engineer will leverage advanced analytics and machine learning to extract insights from data, develop software solutions, and communicate findings effectively to a non-technical audience.

The Manager Data Scientist will lead the development of pricing optimization models, analyze pricing elasticity, implement machine learning models on AWS SageMaker, and communicate findings effectively.

This role involves leading AI/ML initiatives, proposing solutions to business problems, and guiding data science teams in execution.

Lead implementation of ML solutions, mentor data science team, design scalable systems, and ensure customer success in data science projects.

The role involves developing AI and machine learning solutions for risk management in insurance, with responsibilities including statistical analysis and model development.

Lead advanced analytics and data science initiatives by developing models using machine learning and Generative AI to drive decision-making. Collaborate with teams, mentor members, and create dashboards to present insights.

The role involves designing and implementing predictive models using machine learning, collaborating with stakeholders, and analyzing data to drive business strategies.

Join an advanced data analytics team to apply algorithms for improving client operations through modeling, simulation, and optimization, while engaging in project planning and quality assurance.

The Data Science Analyst will analyze data, build predictive models, and collaborate with teams to optimize performance and drive data-driven decisions.

The Data Science Lead will drive advanced analytics initiatives, mentor a team, design models, and collaborate with stakeholders to improve decision-making.

The Director will lead data science efforts to derive insights from large datasets, enhance data products, and improve data science methodologies, while collaborating with various teams at Gartner.

Develop machine learning models, analyze data, collaborate with teams, and stay updated on AI/ML trends to drive business insights.

The Senior Data Scientist will develop machine learning models, collaborate with stakeholders, analyze data sets, and stay updated on AI advancements.

The role involves applying advanced analytics and data science techniques to derive insights, drive decisions, and enhance eBay's category initiatives through collaboration with teams across the company.

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.

As a Data Science Consultant, analyze complex data sets to optimize supply chain processes using machine learning and data analytics for enhanced decision-making and efficiency.

The Analyst will work on advanced analytics and machine learning projects, applying methodologies such as clustering and predictive modeling, working independently to deliver results.

The Data Science Analyst will design LLM-based pipelines, develop NLP models, and deliver insights through data visualization to enhance customer experiences at eBay.

Lead and conduct model validations for AI/ML across financial domains, manage AI validation projects, mentor team members, and ensure compliance with policies.

The Senior Data Science Engineer will design and implement statistical models and AI techniques, collaborate with teams, and mentor junior data scientists to solve complex business problems in diabetes management.

The Data Science Manager will lead strategic data initiatives, construct advanced analytics solutions, mentor junior staff, and drive AI/ML adoption across industries while managing client engagement and project deliverables.