Top Data Science Jobs in Bangalore

Deliver analysis supporting client objectives through data science solutions; lead meetings, build relationships, and communicate insights for growth.

The Manager is responsible for developing strategies for Insights and Analysis, managing the team, and applying data science methods for client recommendations.

The Manager is responsible for developing strategies, managing analytics engagements, providing insights to clients, and leading the team.

Lead and manage customer analysis, mentor analysts, conduct data preparation, apply data science methods, and communicate findings to clients.

Lead Analyst responsible for managing customer analysis, mentoring a team, applying data science methods, and delivering insights to clients.

The Lead Analyst leads customer analysis, manages a team of analysts, applies data science methods, and communicates insights to clients.

The Senior Analyst delivers data science solutions to clients, communicates insights, and leads team development to exceed business performance targets.

Lead and coach colleagues in advanced analytics and data quality management, delivering strategic solutions that address stakeholder needs while fostering strong relationships and using effective communication.

The Senior Analyst develops data science solutions, leads sales meetings, sets team objectives, builds client relationships, and communicates insights.

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

The role involves analyzing CPC-based advertising and search initiatives, designing A/B tests, and providing actionable insights from large datasets to enhance eBay's advertising ecosystem.

As a Clinical Data Science Programmer, you will develop and validate programming code for clinical trials, ensuring data integrity and compliance with regulatory standards while collaborating with scientists and statisticians.

Lead and inspire a team in AI/ML product discovery, transforming product data into insights, driving data-informed strategy, and innovating with structured data solutions.

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

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

As the Senior Clinical Data Science Lead, you will oversee clinical data management, ensuring quality data for trials and leading cross-functional teams.

Lead the Data Science team for Lending at Grab, overseeing credit risk modeling, guiding ML strategies, and partnering with stakeholders for data-driven insights and model governance.

Lead data science initiatives by defining roadmaps, managing teams, and engaging clients, while driving innovative AI and analytics solutions.

Drive strategic initiatives in healthcare analytics, manage consulting projects, deliver data-driven recommendations, and engage stakeholders across the Life Sciences industry.

Manage consulting projects in healthcare analytics, providing strategic advisory services, and developing data-driven recommendations to enhance business performance.

The role involves leading data science initiatives, optimizing processes, developing AI frameworks, and ensuring ethical compliance while engaging with users.

Lead the development of data science solutions, manage client engagements, and guide teams in predictive modeling and analytics projects.

Lead data science initiatives by managing a team, translating complex problems into actionable insights, and engaging with clients. Drive project management and contribute to product development in AI and analytics.

The Associate Lead Data Scientist will tackle complex data science problems across industries, manage team members, engage with clients, and develop solutions using machine learning.

As a Senior Data Scientist, you will tackle complex data science and machine learning challenges, engage with clients, and develop statistical models using advanced techniques.