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    Job · 15188012

    Experian logo

    Senior Data Modeler

    Experian · Mumbai · onsite · Posted 50d ago

    Not disclosed5–8 yrsfulltimeSourced fromFoundit

    About a minute. You'll make an account on the way through.

    About this role

    Job description

    We are looking for a Sr. Data Modeler to help us unlock our vast amounts of data with effective modelling and advanced analytics, helping us make smarter decisions and deliver even better products to our clients. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high-quality prediction systems and automated scores using machine learning, integrated with our products. You will also support our business teams, pre-sales and analytics to ensure optimal product creation.

    Ideally suited to someone who has 5 to 8 years experience core analytics function of a large bank / consulting firm and with experience on handling large data volumes using data analysis tools and generating good data insights.


    What you'll need to bring along (Your prior experience

    • )
      Understanding of machine learning techniques and algorithms, such as Gradient Boost, KN
    • N.Knowledge of different modelling frameworks like Linear Regression, Logistic Regression, Decision Tr
    • eeDecent understanding and hands-on of statistical modelling/data analysis tools especially Python and SAS and market tren
    • dsApplied statistics skills, such as distributions, statistical testing, regression et
    • c.Understanding of decisioning and portfolio management in banking and financial services would be added advanta
    • geUnderstanding of credit bureau would be an added advanta

    ge
    What you'll do (Job responsibilities for this ro

    • le)
      Deliver high quality analytical and value-added services for the clients while following timelines as promised to the cli
    • ent.You'll play an important role to Engage Business/Technical Consultants and delivery teams so that there is a shared understanding and agreement as to deliver proposed solu
    • tionYou will use analysis and customer insights to develop value propositions for custo

    mersMore about you (Skills we are looking

    • for)
      We are looking for someone
    • who:Is a consultative business profess
    • ionalIs clear and ce
    • rtainExperienced to partner with a sales team managing multiple opportunities concurr
    • entlyPassionate and gra
    • ciousHigh moral standards, and an ethical approach to doing bus
    • inessAnalytical and ability to see the big-picture and develop conceptual solu
    • tionsCandidates that have prior relevant work experience and have experience helping companies

    grow
    Qualific

    • ationsA strong understanding of machine learning techniques and algorithms, such as Gradient Boost, KNN, etc. · Knowledge of different modelling frameworks like Linear Regression, Logistic Regression, Decision Tree · Decent understanding and hands-on of statistical modelling/data analysis tools especially Python and/or SAS and market trends · Applied statistics skills, such as distributions, statistical testing, regression etc. · Understanding of decisioning and portfolio management in banking and financial services would be added advantage · Understanding of credit bureau would be an added adv

    antage
    Interested candidates share their CV to daylene.dias@experian.com w

    ith theSubject: Application for a Senior Data

    Modeler

    Sourced from foundit

    Skills

    linear regressionlogistic regressionDecision TreeStatistical ModellingGradient BoostKnnSASPythondata analysisMachine Learning

    About Experian

    Experian logo

    Experian

    FinTech

    201

    employees

    2006

    20 years old

    Hyderabad / Secunderabad, Telangana

    India

    About

    Experian specializes in data analysis and processing, enabling individuals and businesses to harness information for better financial control and decision-making.

    Industries

    FinTechFinancial ServicesInternet

    Employee ratings

    177 reviews

    3.8/ 5

    Culture

    3.7

    Career growth

    3.3

    Work-life

    3.9

    Employees rate it well for

    Work Culture23Work Life Balance21Senior Management18Salary16Learning10

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