Remote Lead Data Scientist, Insurance ML & Pricing

James Search Group; United States; Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

Performance-based bonus/variable compensation

Medical, dental, and vision insurance

401(k) with company match

Generous PTO

Wellness and mental health support programs

Job summary

A prominent recruitment agency is seeking a Senior / Lead Data Scientist to join a high-performing Property & Casualty insurance carrier. This remote position involves leading development of predictive models and collaborating across teams to identify impactful problems and provide ML solutions. A successful candidate should have 5–8+ years of experience in Data Science, strong programming skills in Python, and expertise in various machine learning tools. The role offers competitive compensation and performance-based bonuses.

Qualifications

• 5–8+ years of hands-on experience in Data Science or ML Engineering.
• Strong portfolio of deployed models in production.
• Ability to evaluate models and communicate results clearly.

Responsibilities

• Lead development of predictive models and ML pipelines.
• Collaborate with stakeholders to identify high-value use cases.
• Mentor junior data scientists and establish best practices.

Skills

Statistical modeling

Machine learning algorithms

Python

Data manipulation (pandas, NumPy)

SQL

Communication skills

Education

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

Tools

Databricks

MLflow

GitHub

TensorFlow

PyTorch

Job description

A prominent recruitment agency is seeking a Senior / Lead Data Scientist to join a high-performing Property & Casualty insurance carrier. This remote position involves leading development of predictive models and collaborating across teams to identify impactful problems and provide ML solutions. A successful candidate should have 5–8+ years of experience in Data Science, strong programming skills in Python, and expertise in various machine learning tools. The role offers competitive compensation and performance-based bonuses.