Job Responsibilities: Own the design, development, and maintenance input mapper and rollup logic for

credit bureau, core banking, internal datasets and any additional data sources in the

future

Ensure accuracy, performance, and compliance through rigorous QC frameworks and

automated validation tools.

Collaborate with credit risk, product, engineering, and integration teams to deploy

and support model and strategy features in production environments.

Analyse complex datasets and derive accurate business logic in alignment with credit

policy and model requirements.

Lead and mentor a team of data scientists and analysts, ensuring adherence to best

practices in software engineering and data science.

Contribute to data governance, documentation, and version control of the CDM and

associated tooling.

Requirements:





5+ years of experience in Data Science/Data Engineering/Analytics

Robust Python skills – ability to writing clean, testable, modular, and production-

grade code.

Experience in credit risk, fintech, or financial services domains.

Experience working on US credit bureau data

Prior experience managing or mentoring technical teams.

Strong communication skills and the ability to work cross-functionally with

engineers, product managers, and stakeholders.

Bachelor's / master's degree in a quantitative discipline (e.g. Engineering, Computer

Science, Mathematics).

📌 Data Scientist / Data Engineer (m/w/d) (India)
🏢 Scienaptic AI
📍 India