Data Scientist

The Data Scientist will translate business objectives into structured analytical tasks and data requirements, apply analytical and statistical concepts to generate data-driven business insights, work with large datasets, identify opportunities for automation and AI application, and build skills on custom tools such as SPSS, PowerBI, and Sawtooth. The role involves interpreting data and building analytical outputs using Excel and PowerPoint, collaborating effectively with global cross-functional teams, and applying core analytical and machine learning techniques including regression, classification, clustering, and exploratory data analysis. The successful candidate will engage closely with business stakeholders to translate analytical requirements into robust, production-ready data solutions that support long-term organizational growth.

2-3 years of relevant experience in data analytics, data science, or machine learning. Strong proficiency in Python and/or R, solid SQL skills, exposure to cloud platforms, experience applying analytical and ML techniques, and ability to translate business objectives into analytical tasks. B.Tech/B.E. or B.C.A. qualification. The ideal candidate will bring a proactive, solutions-oriented approach, strong organizational skills, and a commitment to delivering high-quality outcomes within agreed timelines. A strong customer-first attitude and willingness to travel to client locations as needed will be an added advantage for this role.