Role Overview

- Shape how banks and financial institutions make decisions at scale through applied AI.
- Own outcomes across live customer environments while mentoring the data science team.

Key Responsibilities

- Lead initiatives from problem framing and experimentation through deployment and monitoring.
- Design, tune and productionise ML and statistical models for credit risk, fraud and portfolio analytics.
- Analyse large structured and unstructured datasets to uncover patterns, anomalies and actionable insights.
- Partner with product, engineering and business teams and establish best practices for explainability and compliance.

Qualifications

- Masters or PhD in Data Science, Statistics, Computer Science, Mathematics or a related field.
- 8+ years of data science experience, including leadership of complex initiatives.
- Solid grounding in machine learning algorithms, statistics and applied AI.
- FinTech, credit risk, fraud or financial modelling experience is preferred.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Lead Data Scientist (Uttar Pradesh)
🏢 Novel Patterns
📍 Uttar Pradesh