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    Job · 16961395

    MUMBAI · FULLTIME

    Data Modeler II

    Experian logo

    Experian

    Mumbai · onsite · Posted 40d ago

    Sourced fromFoundit
    Not disclosedFresherfulltimeMumbai

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

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    Section · 01

    About this role

    Job Description

    We are looking for a Data Modeler to help us unlock our vast amounts of data with modelling and advanced analytics, allowing us to 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 product creation.

    Suited to someone who has 3+ years of experience core analytics function of a large bank / consulting firm and with experience handling large data volumes using data analysis tools and generating good data insights.

    What you'll do

    • Deliver high quality analytical and value-added services for the clients while following timelines as promised to the client.
    • 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 solution
    • You will Use analysis and customer insights to develop value propositions for customers

    Qualifications

    What you'll need to bring to the party

    • 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, Pyspark 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 advantage

    Additional Information

    Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

    Benefits:

    • Great compensation package and discretionary bonus plan
    • Core benefits include pension, health Insurance and term life Insurance, Sharesave scheme and more!
    • 25 days annual leave with 13 bank holidays and 3 volunteering days. You can also purchase additional annual leave.
    • You will report to Senior Analytics Consultant
    • Role Location: Mumbai
    • Experian is an equal opportunities employer

    Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address.

    Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.

    #LI-Onsite

    Experian Careers - Creating a better tomorrow together

    Sourced from foundit

    Section · 02

    Skills

    linear regressionlogistic regressionDecision Treedata analysis toolsStatistical ModellingGradient BoostKnnSASPysparkPythonMachine Learning

    Section · Company

    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

    Find them on

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    Data Modeler II · waiting for your command