Company: Client of Turning Point Career

Website: Visit Website

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Business Type: Enterprise

Company Type: Product

Business Model: B2B2C

Funding Stage: IPO/Public

Industry: FinTech

Job Description

We are looking for a Lead Data Scientist professional with 10+ years of experience building and deploying production-scale ML systems across Credit Risk, Fraud, and Collection in BFSI. The ideal candidate should have robust expertise in Python, Spark, Kafka, Kubernetes, MLOps, distributed ML, and AI platform engineering along with proven team leadership experience.

Roles & Responsibilities

Lead AI Product Pods across Credit Risk, Fraud, and Collections functions.
Build and deploy production-scale Machine Learning systems for lending lifecycle decisioning.
Own complete ML lifecycle including feature engineering, model training, evaluation, deployment, monitoring, and continuous improvement.
Design scalable distributed ML infrastructure, feature stores, model registries, and MLOps pipelines.
Develop AI solutions for underwriting,



portfolio risk monitoring, fraud detection, anomaly detection, and recovery optimization.
Drive model governance, monitoring, explainability, and compliance within BFSI regulatory standards.
Collaborate with Product, Risk, Engineering, Data, and Business teams to deliver AI-driven business outcomes.
Define AI platform architecture, operational excellence, SLAs, and incident management practices.
Build, mentor, and scale high-performing AI Engineering and Data Science teams.

Ideal Candidate

Strong Lead Data Science, / AI Engineer / Machine Learning Engineer profiles.
Must have 10+ years of experience in Data Science, AI/ML or AI Engineering with hands-on experience building production-grade ML systems.
Must have hands-on experience building AI/ML solutions for Credit Risk, Fraud Risk Management (FRM), Collections & Recovery, with proven delivery of business-impacting AI/ML solutions.
Candidate's Current designation m

📌 Lead Data Scientist (Pune)
🏢 Sourcingxpress
📍 Pune