Star Union Dai-ichi Life Insurance | Jobs | Data Scientist | BigDataKB.com | 17-02-22

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    Job Location: Thane

    Role Title: Manager Data Science & AnalyticsDepartmentBIU FunctionData Science & AnalyticsLevelMDesignationManagerReporting toSenior Manager Location Head Office, Navi Mumbai

    Note: candidate needs to be from BFSI domain with insurance expertise .Any BFSI domain will be highly proffered.

    Key Responsibilities:
    This job would have the following responsibilities:

    • Managing the entire cycle of ML Models from Data extraction, Feature engineering, Model development, Training, Verification, Deployment, monitoring to validation at the defined frequencies
    • Embed automated processes for model deployment, and implementation
    • Would require thorough understanding of machine-learning algorithms
    • Excellent understanding of ML techniques such as: Linear regression, logistic regression, decision tree, random forests, bagging & boosting techniques, SVM, neural networks and clustering techniques like K-means, h-clustering
    • Work with stakeholders to identify opportunities to leverage data to drive business decisions
    • Data extraction, preprocessing, analysis of structured & unstructured data, and data visualization
    • Analyze large amounts of information to discover trends and patterns
    • Ad-hoc analysis and sharing insights with the business users
    • Hands on experience with any of the visualization tools to share the insights quickly with the business teams, if required (experience using Power BI- not mandatory)

    Work experience:

    • Minimum 4 years of experience (BFSI domain with insurance expertise will be preferred )
    • Proven experience as a Data Scientist or Data Analyst
    • Experienced in data mining & statistical model development
    • Understanding of machine-learning and operations research
    • Hands on with Python/R is a must along with knowledge of querying; familiarity with Scala, Java or C++ will be an advantage
    • Analytical mindset and business acumen
    • Strong math skills (e.g. statistics, algebra)
    • Problem-solving aptitude
    • Excellent communication and presentation skills

    Apply Here

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