Senior Data Scientist

Gradient AI is the decision-intelligence partner for the insurance industry, giving customers an advantage in how they make decisions by revealing risk others miss and translating it into stronger performance and real-world impact. Our platform harnesses a vast industry data lake – tens of millions of policies and claims enriched with economic, health, geographic, and demographic signals – integrating cleanly with existing workflows to make complex risk clear, usable, and actionable. Our customers include carriers, brokers, consultants, and specialized insurance organizations across the industry. We are backed by $56M in Series C funding and scaling fast – and it's an exciting time to join the team! We are looking for a Senior Data Scientist to advance our core AI models and drive them to market in collaboration with data science, product, and engineering partners. In this role, you will own well-scoped models end-to-end – working independently to ship measurable uplift on the AI capabilities at the heart of our products.

Responsibilities

Leverage the best of modern deep learning & large language models with traditional data science techniques to create powerful hybrid models with real uplift; Brainstorm, prototype, prove, deploy, and realize the value of your work in market quickly; Everything you would expect on a world-class data science team solving world-class problems. Big data. Federated learning. Unstructured data challenges. Timeseries and sequence modelling. A self-serve buffet of techniques from GLMs to XGBoost to Transformers; Tell stories with your data. Inspire trust in customers, stakeholders, and prospects by turning murky math into a powerful message that drives the bottom line

Requirements

Bachelor's degree in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 3-5 years of professional data science experience building predictive models; OR Master's or Ph.D in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 1-2 years of professional data science experience building predictive models; Hands-on comprehensive experience with deep learning frameworks such as PyTorch or TensorFlow, and an understanding of modern AI architectures (e.g., Transformers, Neural Networks, LLMs); Advanced proficiency in Python and its core data science ecosystem (e.g., Pandas, NumPy, Scikit-learn, LightGBM, etc.); Strong technical communication and collaboration skills within agile squads and DS leadership; Familiarity with SQL, Relational databases, and cloud environments like AWS/Azure/Google/Databricks; MLOps and hands-on experience taking models from notebook to production — Experiment tracking, packaging, containerization (Docker), model serving and APIs, CI/CD, and pipeline orchestration

Nice to have

Fluency with actuarial methods and working with actuaries is a plus; Familiarity with healthcare and medical data; Familiarity with underwriting and claims, or predicting long-tailed and/or rare events

Benefits

A fun, team-oriented startup culture; Generous stock options - we all get to own a piece of what we're building; Unlimited vacation days; Flexible schedule that supports working from home; Full benefits package includes medical, dental, vision, 401k, paid paternal leave, and more; Annual performance bonus; Equity grant; Ample opportunities to learn and take on new responsibilities