Top Data Science Jobs in Bengaluru

The Modelling & Data Science Manager leads customer analysis efforts, manages a team of analysts, applies data science methods for insights, and oversees data science project delivery. They communicate findings to clients and keep abreast of industry trends.

The role focuses on delivering analysis to meet client business objectives, developing data science solutions for marketing challenges, leading sales meetings, setting team training goals, and building client relationships to enhance value and growth.

The role involves developing data science solutions to address marketing problems for clients, leading sales meetings, setting training objectives for teams, building client relationships, and communicating insights effectively.

The candidate will collaborate with sales teams to understand customer needs, propose optimal solutions, conduct product demonstrations, develop tailored presentations, assist with RFPs and RFIs, provide technical responses, and analyze market trends to enhance solution strategies.

The Director of Data Science at Lilly will lead the Data Science organization within Business Insights & Analytics, focusing on scaling teams and delivering high-quality, scalable solutions. Responsibilities include overseeing project delivery, managing talent, driving culture, and collaborating with stakeholders to optimize data science applications for business success.

As a Data Science Associate Consultant, you'll design and implement analytics solutions for structured and unstructured data, develop deep learning models, collaborate with teams on machine learning deployment, and contribute to AI research.

The Data Scientist/Sr. Data Scientist role involves utilizing Python for data manipulation and analysis, focusing on generating reports and insights from large datasets. The candidate will work on various advanced analytics projects, collaborate with teams to enhance client decision-making, and mentor junior analysts.

As a Staff Data Scientist, you will design and develop machine learning solutions for lending underwriting and risk management. Collaborate with multiple teams to enhance data-driven business practices, monitor model performance, and mentor junior data scientists while staying updated on industry trends.

As a Lead Data Scientist, you will develop insights and tracking mechanisms to support JPMorgan Chase's Data Strategy, applying advanced data science methods and statistical rigor. Your responsibilities include collaborating with business partners, developing analysis structures, maintaining data visualization tools, and engineering machine learning solutions to support decision-making across systems.

The Data Science Senior Manager will manage the functional data science capability, create a data science roadmap, analyze data for insights, and build teams with the right skills. Responsibilities include applying analytics to solve business problems and interfacing with high-level stakeholders.

The Principal Data Scientist will lead the development of advanced predictive models to assess credit risk and optimize lending growth. Responsibilities include collaborating with cross-functional teams, mentoring junior data scientists, and staying updated on industry trends to enhance data capabilities.

The Lead - Data Science role involves overseeing model validation projects in AI and ML, ensuring compliance with industry regulations, mentoring team members, and enhancing workflows using Google Cloud Platform. The position requires collaboration across departments to align AI practices with organizational goals while contributing to policy development and maintaining high standards in model risk management.

The Senior Data Scientist will build and deploy machine learning models using transaction data to drive business value for Toast. Responsibilities include collaborating with stakeholders, designing models, monitoring production performance, documenting processes, and sharing knowledge within the team.

The Senior Data Scientist will work within the AI, Systems, and Technology team to develop and implement machine learning algorithms, train models, and collaborate with cross-functional teams. They will focus on enhancing AI/ML functionality for customer support and sales, requiring effective communication with stakeholders and proficiency in various machine learning methods.

The Data Engineer will develop and build low-level designs based on technical specifications, extract insights from large datasets, and develop AI/ML models. Responsibilities include creating ETL pipelines, utilizing big data technologies, collaborating with stakeholders, and driving data-driven solutions focused on customer needs.

The Director of Data Science at Visa will lead the Payment Fraud Disruption team, focusing on developing applications and services for risk and fraud detection. Key responsibilities include architectural design, product delivery within the payments sector, utilizing a strong engineering background, and driving strategic vision and collaboration with product leaders.

The Associate Group Data Science Manager will lead the development and deployment of advanced predictive and generative AI models. Responsibilities include model design, implementation, and evaluation, as well as mentoring junior staff and driving innovative solutions using data-driven decision-making.