Top Data Science Jobs in Bengaluru

The Senior Site Reliability Engineer will design, build, and maintain services supporting real-time data analytics and machine learning. Responsibilities include implementing SRE principles for reliability, developing software solutions to optimize system operability, creating tools for automation, and managing performance across cloud infrastructures.

The Senior Manager Data Science will lead teams in developing data-driven solutions using machine learning and statistical analysis. Responsibilities include mentoring teams, driving innovation in applied analytics, and optimizing marketing tactics through data usage. The role emphasizes serving as an advisor and advancing data science capabilities across various business offerings.

As a Lead Data Scientist, you will spearhead the development and implementation of data-driven solutions using digital twin technology to optimize asset performance. Responsibilities include requirements analysis, solution design, data integration, model development, and collaborating with customer project teams.

As a Lead in Data Science, oversee the validation of AI and ML models, ensure compliance and accuracy, drive AI project implementations, mentor team members, and contribute to policy development while collaborating across departments.

The role involves leading the development and execution of data-driven projects, collaborating with data scientists and engineers to build and optimize AI/ML systems. Responsibilities include mentoring team members, designing system architecture, and proposing AI/ML use cases to improve business processes.

The Data Strategy Manager will assist clients in identifying opportunities for model improvement within their AI stacks, consulting on business goals, and designing data plans to enhance model performance. This role involves managing projects, creating diagnostics, and ensuring the delivery of high-impact data strategies in collaboration with internal teams and clients.

As a Data Science Senior Manager, you will design, develop, and deploy AI models primarily in Retail Banking. You will lead a team of data scientists to create innovative AI solutions, utilize machine learning and statistical techniques, and collaborate closely with stakeholders to ensure solutions meet business needs. The role involves mentoring, project ownership from data collection to deployment, and translating complex data insights into business strategies.

In this internship with Little Caesars' Data and Analytics team, you will support and improve production management models, investigate variables for accuracy, and document code development. This 13-week program includes mentorship, collaboration on data initiatives, and culminates in a presentation to senior leadership about your findings and projects.

The Senior Manager of Data Science is responsible for leading large teams to deliver analytical solutions in Banking, Finance, and Insurance. This role includes project management, mentoring junior consultants, developing predictive models, and collaborating with clients to meet their analytical needs. The manager is expected to provide thought leadership and establish bureau-based analytics capabilities.

The Analyst Data Science role involves analyzing business problems by collecting and interpreting relevant data. The incumbent will produce actionable insights through data modeling and analytical techniques, generate BI reports, and present findings to stakeholders. A strong attention to detail, knowledge of machine learning and statistical techniques, and excellent communication skills are vital.

As a Senior Data Scientist at Target, you'll design, develop, deploy, and maintain data science models and tools to solve retail challenges in the supply chain, ensuring efficient inventory management and fulfillment planning. You'll collaborate with cross-functional teams to understand business needs and enhance operational processes.

The Data Scientist will apply data science principles and methods to solve varied problems by analyzing diverse data sources. The role includes exploring, refining, and deploying data science solutions, along with demonstrating project management skills and collaborating under limited supervision.

The Senior Manager of Data Science will develop and enhance data products and machine learning models for risk management, fraud prevention, and collections. Responsibilities include creating monitoring tools, building deployment platforms, and leading collaborative projects to drive business value using alternative data to optimize customer experience and marketing strategies.

The Sr Product Ops Analyst will create measurements and enhancements for the Order Management System by performing exploratory data analysis, collaborating with teams to identify product issues, build reports, and monitor key product metrics to drive improvements.

The Data Science Senior Analyst is responsible for conducting strategic data analysis, optimizing data quality, and delivering analytics initiatives to address business problems. This role involves consulting with clients, leading system change processes, and ensuring high-quality work. Strong communication, leadership, and risk assessment skills are crucial.

The Senior Data Scientist uses advanced data science methods to solve complex problems, develop innovative solutions, and enhance existing models. The role requires collaboration and leadership in executing data science projects that influence business outcomes.

As a Manager in Data Science, you'll lead the development of innovative data science solutions using ML Ops, mentor a high-performance team, and collaborate with various stakeholders to drive data excellence and business impact.