Senior Data Scientist

About this role

Kroll is hiring a Senior Data Scientist for its Enterprise Data Group.

This program involves building fintech products, driving digital transformation of Kroll services, process automation with machine learning, business intelligence, data governance, and the development of generative AI solutions. You will work alongside an advanced engineering and data science team and collaborate with professionals from the world's largest financial institutions, law enforcement agencies, and government bodies.

This is a senior-level position for an experienced practitioner who can lead end-to-end ML initiatives, mentor junior team members, and partner with stakeholders to translate complex business problems into production-grade data science solutions.

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 ML, 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 dat...