Top Data Science Jobs in Bangalore

The VP will oversee financial analysis, control, forecasting, and budgeting, driving strategic decisions and managing financial reporting for Consumer & Business Banking.

Develop advanced algorithms, utilize machine learning and statistical techniques, and collaborate with clients while assessing new datasets and technologies.

The Data Scientist will analyze complex datasets, support client decision-making with advanced analytics, and mentor junior analysts. Key responsibilities include generating reports, collaborating on marketing projects, and ensuring data integrity.

As a Data Science Associate Consultant, you'll design analytics solutions, implement AI models, collaborate on machine learning projects, and develop algorithms for complex data sets.

Lead and execute high-impact analytics solutions using optimization techniques on large datasets, manage project teams, and communicate findings with clients.

This role involves leading analytics engagements, applying data science methods for insights, managing team development, and keeping up with industry trends.

The role involves applying data science methods to provide insights, managing multiple analytics engagements, and developing team objectives.

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

Lead the end-to-end data science pipeline, develop AI/ML models, collaborate with engineering teams, and engage business users to translate complex problems into solutions.

The Manager will develop strategies for Insights and Analysis, manage analytics engagements, train the team, and communicate insights to clients.

This role involves developing strategies for Insights and Analysis, managing analytics engagements, and leading team development while providing data-driven recommendations to clients.

Manage data science projects, develop data models and algorithms, analyze datasets, and mentor junior team members to ensure quality and support decision-making at PayPal.

Lead the development of advanced data pipelines and machine learning models to optimize online marketing campaigns while collaborating with cross-functional teams.

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.

Lead a team of data scientists and analysts to develop and implement advanced analytics solutions, driving data-driven decision-making across the organization.

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

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

The role involves designing AI agents, optimizing ML/DL models, collaborating on AI experiences, and requires deep expertise in AI frameworks and cloud deployments.

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

The Data Scientist will translate business problems into data science solutions, collaborate with stakeholders, analyze large datasets, and deploy models in production environments.

As a Data Scientist, you will enhance data productivity, develop models, collaborate with business stakeholders, and provide insights to improve product usability and reseller performance.

The Senior Data Science Analyst will design and evaluate forecasting models, analyze financial statements, and collaborate with stakeholders for insights.

The Data Science Senior Manager at Visa will lead data projects for clients, ensuring quality delivery, stakeholder engagement, and growth of data services across AP.

The Data Science Manager will oversee analytics projects, manage client interactions, and derive actionable insights from data to drive business value.