Senior Data Scientist (digital Lending)
₹50L / yr
The listing is for a senior data scientist at a non‑banking financial company that provides digital lending services. The role focuses on end‑to‑end credit and fraud data science, including feature engineering from raw bureau JSON files, SMS logs, device data and alternative data sources such as FinBox. Responsibilities include building and maintaining credit scorecards for first‑time and repeat borrowers, developing models with XGBoost, random forest, support vector machines and ensemble techniques, and designing a business rule engine for model deployment and monitoring. The scientist will work closely with the existing data‑science team, product managers, engineers and the founders, translating data insights into product decisions and operational rules. Candidates should have at least four years of experience, strong Python skills with pandas and scikit‑learn, solid knowledge of XGBoost and SQL, and a proven track record in credit risk or fraud modeling. The position suits a technically proficient, collaborative professional who can move models from research to production in a fast‑moving fintech environment.
Education
- Level: Bachelor's degree
Key Skills
Notes
0-1 year experience eligible.
Senior Data Scientist (Digital Lending) NBFC for Digital Lending Agency job via Cutshort Lightning by Bisman Gill Apply now Mumbai 4 yrs+ Upto ₹50L / yr (Varies ) Data Science pandas Scikit-Learn XGBoost SQL The Role Own end-to-end credit & fraud data science: feature engineering from raw bureau JSON ,SMS,DEVICE, scorecard / model development, Business Rule Engine (BRE) design, monitoring, and partnering with product/engineering to put rules live. You will work directly with the existing DS team,Tech,product and founders — decisions are data-backed and debated. What you will own Build and maintain credit scorecards and models for FTB and Repeat Borrowers (Xgboost, Random forest, Support Vector Machine Models, ensemble models, challenger models). Engineer features from raw CRIF (or equivalent) bureau JSON — tradelines, enquiries, DPD histories, identity matches — and from raw SMS / FinBox alt-data (collections, rejections, salary, app footprint). Design, validate, and ship Models: hard
Skills for this role
Required skills
Also mentioned in the listing
| Role | Senior Data Scientist (digital Lending) |
|---|---|
| Company | NBFC For Digital Lending |
| Compensation | ₹50L / yr |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4Senior Data Scientist (digital Lending) at NBFC For Digital Lending: frequently asked questions
- Who can apply for the Senior Data Scientist (digital Lending) role at NBFC For Digital Lending?
- The listing asks for Bachelor's degree; freshers are welcome.
- What skills does the Senior Data Scientist (digital Lending) role require?
- The listing highlights SQL. Show each of these in a project or past role on your resume.
- What is the salary for this role?
- NBFC For Digital Lending lists ₹50L / yr. The final offer is confirmed by the company during hiring.
- What is the application deadline?
- NBFC For Digital Lending has not listed a fixed deadline, so apply early in case the opening is filled.
- How do I apply for the Senior Data Scientist (digital Lending) role?
- Use the Apply button on this page. It opens the original listing on cutshort.io, where you submit your application with the company.
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