Top Data Science Jobs in Bangalore

The role focuses on developing strategies for insights and analysis, managing analytics engagements, and guiding team development in data science.

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 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.

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

As a Data Engineer, design, develop, and maintain data solutions for generation, collection, and processing; ensure data quality and implement ETL processes.

As a Data Engineer, you will design and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes.

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

Lead and manage customer analysis deep dives, execute strategies from leadership, communicate with clients, and mentor a team of analysts.

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

The Lead Analyst leads customer analysis, manages a team of analysts, conducts data preparation, and provides insights using data science methods.

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

The Manager will develop strategies for Insights and Analysis, manage analytics teams, communicate insights to clients, and ensure team development and training.

This role involves applying data science methods to provide insights, managing analytics engagements, and developing team strategies and training objectives.

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

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.

This role involves analyzing customer service data, developing dashboards, leveraging AI, and presenting insights to enhance business performance across global teams.

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 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 Associate Director of Data Science will lead the Data Science team at Lilly, managing projects, workflows, and talent development while collaborating with stakeholders to enhance data-driven decisions in pharmaceutical operations.

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