Top Data Science Jobs in Bangalore

As a Data Engineer, you will create data solutions and pipelines, ensuring data quality and implementing ETL processes to manage data across systems.

Design, develop, and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes across systems.

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

The role involves developing data science solutions to meet client objectives, leading presentations, training the team, and building client relationships.

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

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

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

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.

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 Data Lead Consumer is responsible for defining and executing the data strategy, ensuring high-quality data delivery, governance, and alignment with business outcomes across the Consumer and Customer domains.

The role involves managing AI-powered supply chain solutions and delivering data-driven insights for operational improvements at KPMG.

Lead and manage customer analysis projects, mentor analysts, apply data science methods, and communicate insights to clients.

The IT Engineer Tech Lead will govern data acquisition architecture, establish reusable interfaces, define standards, and support data engineering teams across multiple sources, ensuring quality integration and analytics.

Lead the product management for data & analytics solutions, coordinating between business stakeholders and IT to deliver scalable, high-value solutions and ensuring ongoing enhancement and user adoption.

This role involves delivering data science solutions for clients, leading meetings, setting team objectives, and building client relationships to enhance performance and growth.

The role focuses on designing and operating analytics pipelines on Google Cloud, utilizing tools like Apache Airflow and BigQuery, while implementing CI/CD practices.

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

In this role, you will manage clinical data science teams, analyze clinical trial data, implement best practices, and mentor junior data scientists.

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

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

The role involves designing, building, and operating analytics pipelines on Google Cloud Platform, utilizing modern practices for orchestration, transformation, and machine learning integration.

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

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.