Roles and responsibilities The candidate will be responsible for developing predictive models using wide range of data sources (both structured and unstructured) The ideal candidate would be adept at understanding customer's business challenges and defineappropriate analytics approachCandidate should possess good communication and can communicate effectively with a wide range of audiences, both technical and businessAbility to accurately comprehend business requirements and being able to translate technical results into easily understood business outcomesHe / She would be responsible for creating Presentations, reports etc to present theanalysis findingsTechnical expertise The person should be competent in Python (Pandas, NumPy, scikit-learn etc.), possess high levels of analytical skills and have experience in the creation and/or evaluation of predictive models. Ideal candidate should have hands on experience using Machine Learning techniques like Clustering, Logistic regression, Random Forest, Gradient Boosting Machine, SVM, Deep learning etc.Good knowledge of model development/data wrangling experience using PythonTools experience - Python (mandatory), R (preferred)Experience processing large amount of data using BigData technologies is preferredFunctional/Other expertiseGood exposure to BFSI domain especially insuranceEducational Qualification: Masters in Statistics/Mathematics/Economics/Econometrics from Tier 1 institutions Or BE/B-Tech, MCA or MBA from Tier 1 institutionsRelevant Experience: 5+ years of hands on experience in developing predictive modelsExperience with Agile project delivery methodology and knowledge of using JIRA is highly preferredPricing (Good to have)Work Experience on pricing modelling using Exposure and Experience rating methodologiesExperience in pricing tools/ raters on Excel or RulebookKnowledge on Frequency , Severity modelling and Loss cost modelling
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