Top Data Science Jobs in Bengaluru

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.

As an Associate Data Scientist, you will analyze complex datasets, develop predictive models, collaborate with cross-functional teams, and generate data visualizations to support business decision-making. Your responsibilities will include data cleaning, testing hypotheses, and applying new data science techniques.

The Senior Data Scientist at Caterpillar Inc. will lead data gathering and processing efforts, define data analysis requirements, optimize data models, and provide mentorship to junior team members. The role includes using Power BI for data visualization and creating applications with Microsoft Power Apps to enhance workflow.

The Staff Data Scientist will develop credit risk and fraud models for the Motive Card by collaborating with Risk, Product, and Engineering teams. Responsibilities include deriving insights from data, applying statistical techniques, evaluating new data sources, and ensuring effective model deployment.

The Principal Data Scientist at Atlassian will collaborate with cross-functional partners to tackle product and business challenges, utilize quantitative analysis to inform strategies, and measure product success. They will interpret data to support decision-making and communicate insights effectively to leadership teams.

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.

As a Data Scientist Lead at JPMorgan Chase, you will analyze business problems through data, develop and deploy machine learning models, and create reliable data processing pipelines. You'll work collaboratively across departments to deliver impactful software solutions, leveraging expertise in machine learning and public cloud environments.

The Data Science Director will lead Visa's Data Science team, focusing on leveraging data assets to provide business insights and drive solutions. Responsibilities include developing AI and ML solutions, designing metrics for performance tracking, mentoring team members, collaborating with stakeholders, and presenting insights. The role requires extensive experience in data analytics and project management within a hybrid working environment.

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 Associate Data Scientist role at MetLife involves working with data to deliver insights and support business decisions. The position likely includes data analysis, model development, and collaboration with cross-functional teams.

The Lead Data Scientist at Equifax will supervise and validate various models for Consumer and Commercial banking, provide mentorship to junior staff, collaborate with stakeholders to enhance model performance, and implement strategies to manage model risks through the analysis of complex datasets on GCP using Python and Bigquery.

The Principal Data Science Engineer at Sabre will utilize advanced statistical analysis and machine learning techniques to solve strategic problems in the airline industry. Responsibilities include developing data models, collaborating with software engineers for production code, and creating insights to improve customer experience and operations performance.

The Manager of Data Science will lead a high-performance team to develop data science solutions using ML Ops. They will guide team members, ensure Agile practices, collaborate with other teams, and drive innovation to create impactful solutions for the business.

As a Data Science Contractor at EarnIn, you will collaborate with machine learning engineers to utilize and train ML models, conduct in-depth data analysis, and enhance current ML systems. You will gain hands-on experience with various technologies while contributing to the deployment and improvement of machine learning systems.

The Senior Manager Data Science at ChargePoint leads the data science team to analyze complex datasets, develop machine learning models, and optimize operations across the organization. The role involves collaboration with multiple departments to leverage data insights for enhancing user experience and operational efficiency while ensuring data quality and building scalable pipelines.

The Senior Data Scientist will collaborate with cross-functional teams to apply technical expertise in quantitative analysis and experimentation to develop business strategies. They will create insights to enhance products, measure success through metrics, and influence strategy decisions based on data-driven recommendations.

As a Lead - Data Science at Equifax, you will oversee AI/ML model validations, manage projects, collaborate with cross-functional teams, mentor team members, and ensure compliance with regulations. This role requires deep expertise in financial domains and AI techniques, particularly in machine learning.