Data Scientist I
About the role
Early- to mid-career Data Scientist in Kroll's Enterprise Data Group. Build and evaluate ML, NLP, and LLM/GenAI models (including RAG and agentic workflows) under senior guidance, using Databricks and Azure.
What you'll do
- Build, train, and evaluate machine learning models across traditional ML, NLP, and LLM/GenAI use cases
- Contribute to data pipelines and feature engineering workflows in Databricks using PySpark and Delta Lake
- Support model deployment and monitoring on Azure AI Foundry, Azure OpenAI, and Azure Functions
- Contribute to LLM workflows including prompt engineering, RAG pipelines, and agentic applications on LangChain or LlamaIndex
- Write clean, well-tested Python and track experiments via MLflow
Requirements
- Bachelor's or Master's degree in computer science, statistics, mathematics, data science, or a related quantitative field
- 1–3 years of practical data science or ML experience (internships, co-ops, research, and strong project work count)
- Proficiency in Python and familiarity with scikit-learn, pandas, NumPy
- Solid understanding of foundational ML concepts
- Exposure to at least one deep learning or NLP framework and familiarity with LLM concepts such as prompt engineering, embeddings, or RAG
About Kroll
Kroll is a global risk, governance, and financial advisory firm. Its Manila Enterprise Data Group works with financial institutions, law enforcement, and government clients.
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