Skill: Data Scientist Experience Range: 6 to 12 years Location: Kolkata Interview Type: Face to Face Must Have Skills: Advanced degree in mathematics, statistics, computer science, or related field. · Strong knowledge of statistical analysis, machine learning, and
Job Overview We are looking for a Gen AI + Data Science Specialist who combines deep data science expertise with hands-on Generative AI skills. The ideal candidate will leverage statistical modeling, data analytics, and Gen AI technologies to derive
Company Description The company’s expertise spans software development, cloud solutions, data engineering, cybersecurity, and enterprise IT consulting, partners with clients across industries to design, build, and scale secure, reliable, and innovative technology solutions. With a team of
Job Overview We are looking for a Gen AI Data Science Specialist who combines deep data science expertise with hands-on Generative AI skills. The ideal candidate will leverage statistical modeling, data analytics, and Gen AI technologies to derive actionable
*immediate Joiners Please apply* We are looking for a skilled Data Scientist with strong Machine Learning expertise to analyze large datasets, build predictive models, and deploy scalable AI/ML solutions. The ideal candidate should have experience in statistical
Responsibilities Key Responsibilities: Design, develop, and deploy metrics in addition to predictive models to solve HR problems (., attrition prediction, talent sourcing, compensation modeling). Conduct exploratory data analysis and generate actionable insights on workforce trends. Partner with HRBPs, talent
Sponsor-dedicated: Working fully embedded within one of our pharmaceutical clients, with the support of Cytel right behind you, youll be at the heart of our clients innovation. As a Principal Statistical Programmer, you will be dedicated
JOB DETAILS 1) Understand transaction data and develop Analytics insights using Statistical models using SAS and/or R 2) Exploratory analysis and model building to develop predictive insights ( e.g.: multi-level Forecasting, time-series models, Optimization, default scorecards, predictive failure models,