As a Data Scientist on the AI & ML (Data Collection) team, you will own AI-powered solutions that extract structured information from PitchBook's reports, news, and other content. You will apply data analysis, machine learning, natural language processing (NLP), and generative AI to improve the quality, coverage, and timeliness of PitchBook data.

You will take end-to-end responsibility for data science initiatives, from problem definition, data exploration, and success metrics through model development, evaluation, production deployment, monitoring, and continuous improvement. Your work may include large language models (LLMs), retrieval-augmented generation (RAG), agentic workflows, and other information-extraction techniques.

You will collaborate with Product Managers, Machine Learning Engineers, Software Engineers, and domain experts to deliver scalable solutions. You will remain accountable for model quality and business impact after launching by evaluating performance, investigating regressions, and guiding improvements through data and experimentation.



You will also contribute through peer reviews, reproducible work, documentation, and knowledge sharing.

You will join a multidisciplinary team of Data Scientists and Machine Learning Engineers developing AI and ML capabilities for PitchBook's data collection pipelines. Data Scientists own the analytical and modeling lifecycle and partner with engineering teams to operationalize, scale, and maintain successful solutions.

Primary Job Responsibilities

End-to-End Data Science Ownership: Own extraction and enrichment problems from discovery through production and continuous improvement. Define the problem, select data and methods, establish success criteria, evaluate results, and monitor outcomes
Problem Formulation & Data Strategy: Translate business requirements into measurable data science problems. Explore structured and unstructured data, identify quality and source-variability issues, and define training,

📌 Data Scientist (Mumbai)
🏢 Morningstar
📍 Mumbai