Lead the design, development, and deployment of predictive models and machine learning pipelines across the insurance value chain. Partner with stakeholders to scope high-value use cases. Mentor junior data scientists and establish coding and modeling best practices.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
Senior / Lead Data Scientist (P&C Insurance)
Fully Remote | Full-Time
Partnering with a Leading P&C Insurance Carrier
James Search Group is proud to partner with a high-performing Property & Casualty insurance carrier that is deeply investing in Data Science, Machine Learning (ML), and Artificial Intelligence (AI) to transform how insurance is priced, underwritten, and serviced. We’re seeking a Senior / Lead Data Scientist to join their centralized Data & ML/AI department and take a key role in building scalable, production-grade models that drive enterprise decision-making.
This is a hands-on and strategic role where you'll help shape the carrier’s approach to predictive modeling, optimization, and data-driven automation. You’ll collaborate across actuarial, underwriting, product, claims, and data engineering teams to identify high-impact problems and bring elegant ML solutions to life.
Office Locations (Optional Hybrid):
This is a remote-first position, but you can also work from one of the carrier’s multiple U.S. office locations
What You’ll Do:
- Lead the design, development, and deployment of predictive models and machine learning pipelines across the insurance value chain.
- Partner with stakeholders to scope high-value use cases in pricing, risk segmentation, underwriting automation, claims triage, fraud, retention, and more.
- Own model lifecycle management from ideation through to deployment and monitoring in production.
- Mentor junior data scientists, establish coding and modeling best practices, and participate in peer reviews.
- Collaborate with data engineers and ML engineers to scale models using a modern MLOps stack.
- Translate technical results into actionable insights for non-technical stakeholders.
What You Bring:
- 5–8+ years of hands-on experience in Data Science or ML Engineering, with a strong portfolio of deployed models.
- Deep understanding of statistical modeling, machine learning algorithms (e.g., tree-based models, ensemble methods, NLP, deep learning), and model evaluation techniques.
- Advanced programming skills in Python, and experience with data manipulation libraries (e.g., pandas, NumPy), machine learning frameworks (e.g., scikit-learn, XGBoost, LightGBM), and deep learning tools (e.g., TensorFlow, PyTorch).
- Experience with Databricks, MLflow, GitHub, and MLOps practices for productionization of models.
- Strong SQL skills and ability to work with large, complex datasets.
- Ability to communicate technical results clearly to cross-functional teams and business stakeholders.
- Bachelor’s, Master’s, or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related field.
Bonus Points For:
- Prior experience in the insurance industry, particularly P&C, working with claims, pricing, or underwriting data.
- Familiarity with regulatory modeling standards (e.g., explainability, fairness).
- Exposure to Hex, Arize, or similar tools for monitoring and visualization.
- Experience with time series forecasting or geospatial modeling.
What’s In It for You:
- $120,000-$170,000 base salary
- Performance-based bonus/variable compensation
- Comprehensive benefits, including:
- Medical, dental, and vision insurance
- 401(k) with company match
- Generous PTO
- Wellness and mental health support programs
This is a rare opportunity to lead cutting-edge Data Science work at a modern insurance organization where innovation is a priority.
If you’re excited to build models that go into production and directly shape customer and business outcomes — we’d love to connect.