Top Data Science Jobs in Bangalore

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

Lead development and implementation of AI-driven audit solutions using data analytics, enhancing risk management and continuous auditing programs.

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.

This role involves providing analytical support using data analytics, machine learning techniques, and independent data analyses to solve business problems and communicate insights to stakeholders.

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.

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

Manage PayPal's credit risk strategy teams for US and Canada Pay in 4 products, overseeing strategy development, data analysis, and cross-functional collaboration.

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.

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 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.

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.

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

Principal Data Scientist I will lead analytic projects, oversee coding and data management, mentor small teams, and ensure high model development standards while applying domain expertise.

The role focuses on developing strategies and managing Insights and Analysis activities for clients, while leading the team and ensuring effective communication of insights.

The Manager of Data Science & Analytics at eBay will analyze datasets, build machine-learning models, optimize marketing activities, and develop reporting tools to support business operations and decision-making.

Own technical delivery of data pipelines and semantic models for Power BI, ensuring performance and governance while working with stakeholders.

As a Modelling & Data Science Executive-1, you'll apply advanced analytics and algorithms to enhance client business operations, while collaborating with a multidisciplinary team.

The Risk Data Science Manager leads innovative data-driven strategies in risk management, focusing on developing predictive models and analytics solutions in credit, fraud, and operational risks at Visa.

The role involves delivering consulting projects in life sciences, focusing on data modeling, engineering, and visualization. Responsibilities include data analysis and presentation, along with developing methodologies and insights for clients.

As Manager of Data Science, you will lead a team in developing ML-driven features, collaborate with product and engineering teams, and coach on data science methodologies.

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.