Top Data Science Jobs in India

Lead a team in defining the technical direction for data science projects, focusing on Generative AI and machine learning to drive organizational vision.

Lead the development of core platform features, ensuring a user-centric experience for data scientists and analysts. Collaborate with teams to align product strategy with business goals, focusing on feature enhancement and stakeholder communication.

The Marketing Head will lead brand-building and marketing initiatives for a healthcare network, influencing strategies and enhancing patient engagement across India.

Develop and design learning paths and courses in various technical domains, authoring materials and assessments while collaborating with team members.

As a Sr. Data Scientist, you will work with large datasets, implementing ETL and machine learning pipelines while improving data quality and analyzing algorithms.

The role offers veterans a one-week unpaid placement to learn about AI and data science in a leading UK tech company.

The Senior Management Consultant drives the execution of the business-analytics roadmap, leading client workshops, defining business problems, and managing stakeholder relationships in the Food & Beverage retail ecosystem.

As an Account Manager, you will ensure customer success and growth for Fortune 1000 clients, drive innovation sales, and manage account strategies.

Manage a team of Solutions Architects focusing on enterprise and strategic customers, enhancing team effectiveness and promoting data-driven solutions.

Lead the development and implementation of machine learning solutions for automotive industry problems, focusing on data-driven decision making and collaboration with product teams.

The Vice President, Controls Business Partner role entails assessing internal control frameworks, improving risk mitigation, collaborating across business units, and enhancing governance and controls in a financial institution.

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

The Senior Cybersecurity Specialist will ensure compliance with security standards, analyze data, develop dashboards, and provide insights to leadership while maintaining data integrity and security.

The Senior Business Analyst will lead a Customer Success program focused on improving NRR and partner with cross-functional teams to deliver measurable business outcomes using AI and data-driven strategies.

Lead the AI/ML product management for InMobi's DSP, focusing on campaign performance, optimization, and data strategy while collaborating with cross-functional teams.

Lead the development of advanced data science models and algorithms, collaborate with stakeholders, drive best practices, ensure data quality, and mentor junior scientists.

The Principal AI Technology & Innovation Specialist leads the assessment and implementation of AI technologies, ensuring innovation aligns with organizational strategy and standards.

The Program Director will lead cross-functional teams to deliver payment solutions, build partnerships, oversee product launches, and manage project execution effectively in a dynamic environment.

The role involves understanding client requirements, designing technical solutions, managing proposals, and overseeing project implementation while ensuring best practices in technology and architecture are followed.

The role involves understanding client requirements, translating them into technical solutions, leading workshops, and ensuring optimal design and implementation while managing project specifications.

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

As a Product Engineer, you will ensure quality and usability of geospatial AI tools, design test plans, validate software, and document technical processes.

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

This role involves designing and deploying data-driven risk analytics solutions, collaborating with stakeholders, analyzing data, and presenting insights to enhance decision-making.

In this role, you will analyze data to improve supply chain efficiency, apply machine learning techniques, and advise stakeholders on analytics best practices.