Remote Insurance Data Scientist | Risk & ML Insights

Placements24; Riverton (UT); Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Annual bonus

Health insurance

Retirement plan with matching

Home office stipend

Remote work flexibility

Paid time off

Job summary

Placements24 seeks an Insurance Data Scientist for a remote-first role leveraging large insurance datasets to build predictive models for risk, pricing, fraud, and customer insights. You will collaborate with actuaries, underwriters, and business stakeholders across time zones.

Ideal candidates hold a Master’s or PhD in a quantitative field, 4+ years in data science, and strong Python/R and SQL skills with ML libraries.

Qualifications

• Master's or PhD in Data Science, Statistics, CS, Mathematics or related quantitative field.
• 4+ years of experience as a Data Scientist, preferably in insurance or financial services.
• Expertise in statistical modeling, ML techniques (regression, classification, clustering, deep learning), and data mining.
• Proficiency in Python or R and libraries (scikit-learn, TensorFlow, PyTorch, pandas).
• Experience with SQL and familiarity with big data technologies (Spark, Hadoop) a plus.
• Strong analytical, problem-solving, and communication skills.
• Ability to work independently and manage remote projects.
• Knowledge of insurance products, underwriting, claims, and actuarial concepts is desirable.
• Experience with cloud platforms (AWS, Azure, GCP) is advantageous.

Responsibilities

• Develop, validate, and deploy advanced models for risk prediction, fraud detection, customer segmentation, and pricing.
• Analyze large, complex datasets to identify trends and insights for insurance operations.
• Clean and prepare data, ensuring quality and integrity.
• Design and run A/B tests and experiments to evaluate new strategies.
• Collaborate with actuaries, underwriters, claims specialists, and stakeholders to deliver actionable insights.
• Communicate findings clearly through visualizations, reports, and presentations.
• Stay updated with advances in data science, ML, and AI.
• Contribute to data infrastructure and best practices within the team.
• Automate data processes and model deployment where possible.
• Explore new data sources and techniques for business improvement.

Skills

Statistical modeling

Machine learning

Python

SQL

Data mining

Communication

Education

Master's degree or PhD in a quantitative field

Tools

scikit-learn

TensorFlow

PyTorch

pandas

Spark

Hadoop

Job description

Placements24 seeks an Insurance Data Scientist for a remote-first role leveraging large insurance datasets to build predictive models for risk, pricing, fraud, and customer insights. You will collaborate with actuaries, underwriters, and business stakeholders across time zones.

Ideal candidates hold a Master’s or PhD in a quantitative field, 4+ years in data science, and strong Python/R and SQL skills with ML libraries.