Top Data Science Jobs in Bangalore

The role involves designing and executing analytics solutions, applying optimization techniques to supply chain and manufacturing datasets, and leading project teams.

The candidate will lead pre-sales efforts in Data Science and AI, collaborating with sales teams, developing solutions, and providing technical support.

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 Senior Data Scientist will apply data science principles to complex problems, lead projects, and contribute to novel data solutions, requiring significant experience in the field.

Lead data-driven projects in the aviation industry, utilizing advanced statistical models and machine learning to optimize operations and mentor junior scientists.

The Senior Applied Scientist will develop and implement machine learning solutions for the automotive industry, define evaluation metrics, and improve model performance while collaborating with teams.

The role involves developing ML solutions for automotive business challenges, analyzing performance metrics, and building production systems while collaborating with teams.

The Data Scientist applies data science principles to solve varied problems, utilizing project management skills and exploring novel data-driven solutions.

As a Data Engineer at Forcepoint, you will build and launch ETL processes, collaborate with teams for data requirements, and develop data pipelines to support business operations.

The Data Science Specialist will develop and implement AI-based solutions at GE Aerospace, focusing on building and deploying models through collaboration with software teams. Responsibilities include data analysis, model development, and communication of findings with stakeholders.

The Data Scientist will analyze complex datasets, support business decisions, and collaborate on marketing projects, utilizing Python and analytical techniques.

Lead and manage customer analysis, mentor analysts, apply data science methods, manage projects, and communicate insights to clients.

This role involves developing data science solutions for clients, leading sales presentations, and building client relationships to drive long-term growth.

Lead the design and implementation of AI-driven NLP solutions for financial services, focusing on prompt engineering and model optimization.

Join ASAPP's Data Curation team to enhance AI solutions by developing expertise in data annotation, partnering with various teams, and optimizing functions.

As a Data Scientist at Asper.AI, you will develop AI solutions that optimize decision-making processes, working with advanced technologies in a collaborative environment.

Lead data science initiatives in Revenue Growth Management, focusing on building ML models and collaborating with cross-functional teams to align strategies. Utilize data insights for revenue optimization.