Kroll is hiring a Data Scientist to join its Enterprise Data Group. This role is ideal for an early- to mid-career practitioner who is eager to develop deep expertise across the ML lifecycle while contributing to high-impact work in a sophisticated, team-oriented data science team.
Our program spans fintech product development, digital transformation, process automation with machine learning, business intelligence, data governance, and generative AI. You will be embedded in a team of experienced data scientists and engineers who will invest in your growth — and work alongside 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
Build, train, and evaluate machine learning models across traditional ML, NLP, and LLM/GenAI use cases, under the guidance of senior team members
Contribute to data pipelines and feature engineering workflows in Databricks using PySpark and Delta Lake
Support model deployment and monitoring on Azure — including Azure AI Foundry, Azure OpenAI, and Azure Functions — and help maintain production model health
Contribute to LLM and generative AI workflows — including prompt engineering, RAG pipelines, and agentic applications built on frameworks such as LangChain or LlamaIndex — under the guidance of senior team members
Conduct exploratory data analysis and communicate findings clearly through code, documentation, and team presentations
Write clean, well-tested, and reproducible Python code; contribute to shared codebases and track experiments via MLflow
Partner with senior data scientists and cross-functional stakeholders to understand business problems and translate them into analytical approaches
Participate actively in code reviews, team rituals, and knowledge-sharing sessions
Develop your skills proactivel
📌 Data Scientist I (Mumbai)
🏢 Kroll
📍 Mumbai