Senior Data Scientist

James Search Group; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

A leading recruitment agency is seeking a Senior/Lead Data Scientist for a remote-first role with a Property & Casualty insurance carrier. You will lead the development of predictive models and collaborate across teams to implement machine learning solutions. The ideal candidate has 5-8 years of experience, strong Python skills, and a solid understanding of machine learning algorithms. This position offers a competitive base salary, performance-based bonuses, and comprehensive benefits.

Benefits

Competitive base salary

Performance-based bonus/variable compensation

Comprehensive medical, dental, and vision insurance

401(k) with company match

Generous PTO

Wellness and mental health support programs

Qualifications

• 5–8 years of experience in Data Science or ML Engineering.
• Strong portfolio of deployed models.
• Ability to translate technical results into insights for stakeholders.

Responsibilities

• Lead design and deployment of predictive models.
• Collaborate with stakeholders to scope use cases.
• Own model lifecycle management from ideation to production.

Skills

Statistical modeling

Machine learning algorithms

Data manipulation libraries

SQL

Communication skills

Education

Bachelor’s, Master’s, or Ph.D. in Data Science, Statistics, or related

Tools

Python

Databricks

MLflow

TensorFlow

PyTorch

Job description

Overview

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

• Competitive 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.