Top Data Science Jobs in India

The Business Development Director will identify new business opportunities in Real-World insights, engage clients, develop proposals, and contribute to strategic planning while collaborating across teams.

The Sr. Technical Architect will lead technical teams in implementing and integrating Blue Yonder solutions, ensuring quality and adherence to best practices.

The Engagement Manager will drive execution of business-analytics roadmaps, lead workshops, define business problems, and manage client relations. This role combines hands-on contributions with team and customer management.

The Associate Director - Account Management will manage customer accounts, drive revenue growth, and ensure customer success for Fortune 1000 companies, while implementing account management strategies and leading a team.

The Enterprise Account Executive will strategize, prospect, and close business in the Southern India market, focusing on client needs and driving Snowflake adoption.

The Scrum Master will lead Data Science teams, facilitating Scrum events, coaching team members, and ensuring delivery performance while promoting Agile practices in a research-driven environment.

The Data Science Manager leads a team to develop methods for analyzing big data, oversees software development for data processing, and mentors team members.

The Data Scientist applies data science principles to solve diverse problems, manages projects, and leads research with limited complexity. They analyze data to provide innovative solutions.

The Engineering Manager will lead AI & ML initiatives focused on data collection, overseeing technical projects and developing a high-performing team. Responsibilities include providing technical direction, mentoring staff, ensuring system reliability, and maintaining data integrity and security. The role requires expertise in NLP and data processing with an emphasis on collaborative leadership and continuous innovation.

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.

The Data Scientist will develop enterprise solutions, implement data strategies, create financial analytics workflows, and employ machine learning for data management and analysis. Responsibilities include building POCs, working with cross-functional teams, and handling data processing and automation tasks.

Lead design, develop, and maintain scalable Python backend applications and data pipelines. Mentor engineers, conduct code reviews, troubleshoot performance issues, participate in architecture and full SDLC, and improve engineering processes.

The role involves providing strategic advisory services, managing business transformations, developing AI models, and collaborating with cross-functional teams to implement data-driven solutions.

The role involves designing and implementing scalable AI and ML solutions, focusing on production readiness and integration into enterprise systems, while collaborating with a talented data science team.

Lead the design and implementation of AI and machine learning solutions, mentor junior staff, and ensure solutions meet business needs.

The Data Science Engineer III will develop and maintain scalable data pipelines, enhance data processing systems, and enable AI/ML use cases, collaborating with cross-functional teams and ensuring data quality.

Lead a team of data scientists to develop and implement data science projects, driving innovative data solutions and enhancing decision-making for the organization.

The role involves developing and implementing AI/ML solutions for clinical trials, predictive modeling, and compliance with regulations. Requires strong programming skills and experience in generative AI.

Lead AI/ML teams in developing and deploying scalable AI systems for educational solutions. Manage projects, mentor engineers, and collaborate across teams.

The Senior Director of Clinical Data Science leads analytics strategy, develops predictive models, evaluates clinical programs, and manages a team of data scientists.

Lead a team of Data Scientists, manage projects related to Retail Index, coordinate with stakeholders, perform analysis, and identify innovations.

Lead the development and deployment of AI/ML solutions, managing the entire model lifecycle and ensuring tangible business outcomes across various projects.

Lead and grow Gracenote's AI & Data Science teams, drive AI/NLP/Computer Vision/MLOps initiatives, deploy production ML/GenAI solutions, enforce quality and lifecycle processes, partner cross-functionally, and advance predictive analytics and research for media audience measurement.