Designation - Data Scientist

Min. Educational Qualification

B.Tech / Bachelors degree in Statistics, Mathematics, Computer Science, Data Science, Artificial Intelligence, or a related field.

Min. Experience required

Minimum 5 years of post-qualification experience, with at least 2 years in applied machine learning on transaction, behavioural, or large-scale structured data

Hands-on proficiency in Python/R, SQL, feature engineering, model validation, and drift monitoring (SAS familiarity an advantage).

Location

Initially at Corporate Office, Current Delhi (further as per requirement may be deployed at Bangalore, for RBI-IH MuleHunter.AI project)

Detailed

Analyze large data pertaining to digital payments and customer transaction (UPI, IMPS, AEPS,



Mobile Banking, POS, ATM) to identify fraud patterns and emerging risks.

Develop and deploy AI/ML models for fraud detection, money-mule identification, transaction risk scoring, behavioral profiling and back-testing.

Work directly with Reserve Bank Innovation Hub (RBI-IH) on operationalizing MuleHunter.AI.

Collaborate with Fraud Risk, Compliance, Cybersecurity, and IT teams to translate data into real-time monitoring scenarios, reduce false positives, and build dashboards using SQL, Python/R.

📌 Data Scientist - IPPB - Delhi (New Delhi)
🏢 National Institute for Smart Government (NISG)
📍 New Delhi