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Data Scientist

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Skill : Data Science Exp: 4-8 Years Location -Blore4+ years of Hands-on experience in Statistical modelling & Machine learning techniques like Random Forest, Boosting, Decision trees, clustering, regression analysis, hypothesis testing, multivariate statistical analysis and forecasting methodologies using SAS, R or other tools like Python Should have expertise in client facing roles and analytical models like Customer segmentation analytics, Propensity models, Life cycle management, starting from acquisition, cross-sell and retention analytics, client based targeting, behavioural modelling, profitability analysis and pricing Responsible for handling a team of Data scientists/Analysts in BFSI marketing analytics space and accountable for delivering projects from conceptualization to implementation 5+ years of experience with MNC banks in BFSI domain and good knowledge on Retail banking, Core Banking, Insurance etc. (Analytical and Business) Strong quantitative aptitude to be able to look at the data/historic trends to be able to derive business insights/recommendations. Proficiency in building story from insights based on various models. Strong knowledge and experience in SAS, R, SQL and excellent MS Office skills. Big Data experience is preferableResponsible for driving the team to design and development of analytical insights based on unstructured and Structured Data.Guide the team on statistical techniques in Identifying meaningful insights from large data and metadata sources;

interpret and communicate insights and findings from analysis and experiments to the business teams.The existing role is on the retail banking analytics front and the candidate will be expected to carve out the analytical roadmaps for various customers and lead the execution of analytical projects end to end. The candidate must conduct research to proactively come up with complex business problems being faced by the banking industry and develop solution around them.