Kroll is hiring a Senior Data Scientist to join its Enterprise Data Group. This role is designed for an experienced practitioner who can lead end-to-end ML initiatives, mentor junior team members, and partner with business and engineering stakeholders to translate complex problems into production-grade data science solutions.

Our program spans fintech product development, digital transformation, process automation with machine learning, business intelligence, data governance, and generative AI. You will work alongside an advanced data science and engineering team — and collaborate with professionals from the world's largest financial institutions, law enforcement agencies, and government bodies.

At Kroll, your work will help deliver clarity to our clients' most complex governance, risk, and transparency challenges. Apply now to join One team, One Kroll.

Responsibilities

Design, research, implement, and evaluate machine learning solutions spanning traditional ML, deep learning, NLP, and LLM/GenAI applications




Build and fine-tune models — from gradient-boosted trees and classical statistical models to transformer-based architectures and retrieval-augmented generation (RAG) systems
Develop and optimize prompts, evaluation frameworks, and guardrails for LLM-powered applications
Engineer scalable data and ML pipelines in Databricks using PySpark, Delta Lake, and MLflow
Deploy, monitor, and maintain models in production on Azure (Azure AI Foundry, Azure OpenAI, Azure Functions, AKS), including CI/CD, model versioning, and drift detection
Validate model inputs, outputs, and business impact; establish robust testing and monitoring practices
Partner with engineering, product, and business stakeholders to scope problems and translate ML capabilities into measurable outcomes
Communicate technical concepts, tradeoffs, and results to non-technical audiences, including senior leadership and clients
Mentor junior data scientists and contribute to team standards around code qua

📌 Senior Data Scientist (New Delhi)
🏢 Kroll
📍 New Delhi