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Senior Data Modeler
Experian
Mumbai, IND
Full-time
Senior · 5+ years experience
Onsite
Discovered 3 weeks ago
PythonSAS
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What you'll do (Job responsibilities for this role)
- 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
- We are looking for someone who:
- Is a consultative business professional
- Is clear and certain
- Experienced to partner with a sales team managing multiple opportunities concurrently
- Passionate and gracious
- High moral standards, and an ethical approach to doing business
- Analytical and ability to see the big-picture and develop conceptual solutions
- Candidates that have prior relevant work experience and have experience helping companies grow
What you'll need to bring along (Your prior experience)
Understanding of machine learning techniques and algorithms, such as Gradient Boost, KNN.
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 SAS and market trends
Applied statistics skills, such as distributions, statistical testing, regression etc.
Posses understanding of decisioning and portfolio management in banking and financial services adds an advantage.
Understanding of credit bureau would be an added advantage
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.
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