Senior Manager-Data Science-Data Scientist
Gurugram, Haryana, India
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
Education & alternatives
Experience with machine learning algorithms, feature engineering, and model monitoring techniques. Bachelor’s in Engineering or Master’s degree in Statistics, Mathematics Familiarity with credit bureau data and experience working in a BFSI environment.
Tools in this posting
- Python
- SQL
- pandas
- scikit-learn
Source — Tool mentions in context
Extract, clean, and preprocess data from various sources using SQL. Develop and implement machine learning models for collections performance and delinquency prediction using Python (including libraries like pandas, scikit-learn). Monitor model performance, conduct backtesting, recalibration, and validation adhering to regulatory standards.
Document modeling processes, assumptions, and results for internal governance and audit purposes. Strong proficiency in Python and SQL for data manipulation, modeling, and automation. Proven experience in credit risk scorecard development and collections/account management modeling.
Design and build credit risk scorecards (application, behavioral, and collections scorecards) to predict creditworthiness and optimize account management strategies. Extract, clean, and preprocess data from various sources using SQL. Develop and implement machine learning models for collections performance and delinquency prediction using Python (including libraries like pandas, scikit-learn).
Job description
Design and build credit risk scorecards (application, behavioral, and collections scorecards) to predict creditworthiness and optimize account management strategies.
Extract, clean, and preprocess data from various sources using SQL.
Develop and implement machine learning models for collections performance and delinquency prediction using Python (including libraries like pandas, scikit-learn).
Monitor model performance, conduct backtesting, recalibration, and validation adhering to regulatory standards.
Collaborate with business and data teams to translate credit risk requirements into modeling specifications.
Document modeling processes, assumptions, and results for internal governance and audit purposes.
Strong proficiency in Python and SQL for data manipulation, modeling, and automation.
Proven experience in credit risk scorecard development and collections/account management modeling.
Understanding of credit risk model metrics (Delinquency, KS, Gini, AUC, etc.)
Experience with machine learning algorithms, feature engineering, and model monitoring techniques.
Bachelor’s in Engineering or Master’s degree in Statistics, Mathematics
Familiarity with credit bureau data and experience working in a BFSI environment.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
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Source & posting history
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Gurugram, Haryana, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Aug 12, 2026
- Recorded sightings
- 177
- Last seen by us
- Oct 9, 2026
- Employer says posted
- Apr 14, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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