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Delhi · On-site · 1-3 Yrs · Oct 11
2 views
1 open role0 posted in 7d1 in 30d
Hiring: Engineering
Job description
Overview
Data Scientist / ML Engineer Risk & Analytics
Nice to have
- You've built something end-to-end yourself a side project, a small business, anything where you owned the whole loop from idea to real usersYou've worked with alternate/behavioral credit data beforeYou have opinions about model governance and explainability, and can talk about why they matter beyond "the regulator says so"
- What you'll get
- Real ownership from day one you're not the 500th data scientist at a big company, you're joining a small, high-leverage team where your work ships fastDirect access to leadership this team reports into a founder-led risk functionA chance to work on problems that actually move the business: better underwriting means better unit economics, not just a better AUC score .
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Job application FAQ
Last updated 13 October 2026
- How do I apply for Data Scientist / ML Engineer Risk & Analytics at CreditSea?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. CreditSea may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Scientist / ML Engineer Risk & Analytics role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Scientist / ML Engineer Risk & Analytics remote or on-site in New Delhi, Delhi?
- This listing is marked on_site with location New Delhi, Delhi. Confirm details on the job description before applying.
- What skills matter for this Data Scientist / ML Engineer Risk & Analytics role at CreditSea?
- This is a mid-level Data Scientist / ML Engineer Risk & Analytics role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.