Top Data Science Jobs in Bangalore

The intern will assist in projects related to data analysis and business problem solving while working closely with experienced professionals.

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

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

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

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

Deliver analysis aligned with client objectives, develop data science solutions, lead sales meetings, train teams, and build client relationships.

The Senior Analyst will deliver data science solutions, lead client meetings, set training objectives, and build client relationships to enhance performance and drive growth.

The Senior Analyst develops data science solutions for marketing, leads sales meetings, fosters client relationships, and communicates insights to drive business value.

This role involves delivering data science solutions aligned with client goals, leading analyses, fostering client relationships, and developing team capabilities.

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

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

The Senior Analyst will develop data science solutions, lead client meetings, training objectives, and build relationships to enhance performance and 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.

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

Lead the Internal Audit Data Solutions program by applying data analytics and AI-driven solutions to enhance audit capabilities and risk management. Collaborate with teams to develop data-driven testing and automation in auditing processes, while recommending tools and methodologies for improved efficiency.

The Data & Analytics Manager will work with business stakeholders to provide advanced analytics solutions, ensure data quality, and lead analytics teams to align with business strategy.

The Sr. Analyst role involves developing data science solutions, leading sales meetings, building client relationships, and communicating insights to achieve business objectives.

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 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.

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

Lead design and delivery of advanced data infrastructure and AI-first monitoring for chargeback processes. Build models, drive RCA and operationalize data-driven decision frameworks, mentor data science teams, ensure governance and compliance, and collaborate with leadership to mitigate payment risks.

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.