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 data scientists and contribute to team standards around code quality, experimentation, and responsible AI
REQUIREMENTS:
Advanced degree (MS or PhD) in computer science, statistics, mathematics, analytics, or a related quantitative field
5+ years of applied machine learning experience, including delivering models to production
Strong Python skills and experience with the modern ML stack (scikit-learn, PyTorch or TensorFlow, pandas, Hugging Face Transformers)
Hands-on experience with Databricks (notebooks, jobs, MLflow, Unity Catalog) and Spark/PySpark
Production experience on Azure, ideally including Azure Machine Learning, Azure OpenAI Service, and Azure Data Lake
Demonstrated experience across multiple ML domains: traditional/statistical ML, deep learning, and NLP
Practical experience building LLM/GenAI applications — prompt engineering, RAG, fine-tuning, embeddings, vector databases, and evaluation
Solid grounding in the full ML lifecycle: data validation, feature engineering, model design, experimentation, deployment, and monitoring
Experience with structured and unstructured data, including text, documents, and semi-structured sources
Strong statistical foundation and ability to reason about uncertainty, bias, and model risk
Excellent technical and business communication skills
PREFERRED:
Experience in financial services, risk, compliance, or regulatory domains
Familiarity with MLOps tooling (MLflow, Docker, Kubernetes, Azure DevOps or GitHub Actions)
Experience with agentic AI frameworks (LangChain, LlamaIndex, Semantic Kernel) and LLM evaluation tools
Knowledge of responsible AI practices, including fairness, explainability, and data privacy
About Kroll
Join the global leader in risk and financial advisory solutions—Kroll. With a nearly century-long legacy, we blend trusted expertise with cutting-edge technology to navigate and redefine industry complexities. As a part of One Team, One Kroll, you'll contribute to a collaborative and empowering environment, propelling your career to new heights. Ready to build, protect, restore and maximize our clients’ value? Your journey begins with Kroll.
In order to be considered for a position, you must formally apply via careers.kroll.com.
Kroll is committed to equal opportunity and diversity, and recruits people based on merit.
The current salary range for this position is $100,000 to $150,000
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