RLI Insurance Company
Senior Data Scientist (Peoria, IL or Chicago, IL)
RLI Insurance Company, Chicago, Illinois, United States, 60290
Senior Data Scientist (Peoria, IL or Chicago, IL)
RLI Insurance Company is looking for a mid‑level Data Scientist to shape how AI/ML is applied across our Personal Umbrella Policy (PUP) and E&S Property lines of business. The role will involve the full model lifecycle—from experimentation and feature engineering to deployment, monitoring, and retraining—within a Snowflake-powered data stack.
Role Overview Collaborate with product, actuarial, analyst, and engineering teams to design, build, deploy, and maintain curated data and analytical models in Snowflake. Contribute to establishing a repeatable, scalable data science foundation at RLI.
Key Responsibilities
Design, create, document, and maintain user‑friendly data products for models and non‑technical end users.
Develop, train, and deploy models using Snowflake Cortex, Snowpark, and integrated Python execution.
Own the end‑to‑end model lifecycle: experimentation, feature engineering, validation, production deployment, and monitoring.
Work closely with underwriting, claims, actuarial, and analyst teams to translate business needs into data science solutions.
Partner with data engineering to ensure the availability and readiness of Snowflake‑based datasets for modeling and inference.
Contribute to model governance, reusability standards, and operational monitoring frameworks.
Stay current on Snowflake’s evolving capabilities to align model development with platform best practices.
Assist in building a shared foundation for data science best practices and help inform future tooling and infrastructure investments.
Required Qualifications
3–5 years of hands‑on experience in applied data science or machine learning roles.
Proficiency in Python (e.g., scikit‑learn, XGBoost, pandas) and SQL.
Experience developing and deploying models in Snowflake using Snowpark, Cortex, or similar cloud‑native tools.
Strong understanding of supervised learning, feature engineering, and model performance evaluation.
Proven ability to work cross‑functionally with both technical and non‑technical stakeholders.
Excellent problem‑solving, communication, and documentation skills.
In‑office requirement of 3 days minimum in our Peoria or Chicago office.
Preferred Qualifications
Background in insurance, risk modeling, or financial services.
Experience working in environments with governed data platforms and production ML workflows.
Exposure to MLOps practices, model versioning, and drift monitoring.
Why Join RLI?
Opportunity to shape the future of data science at a financially strong, innovation‑minded company.
Work with a modern data stack (Snowflake, Power BI, Azure).
Partner closely with experienced leaders and cross‑functional teams.
Make a direct impact on underwriting precision, claims operations, portfolio risk management, and product innovation.
Compensation Overview The base salary range for this position is $107,411.00 – $156,551.00 per year. Salary offers are influenced by geographic location, experience, scope & responsibilities, qualifications, and business needs. The total rewards package includes competitive benefits and opportunities for performance‑based incentives.
Benefits
Annual bonus plans
Employee stock ownership plan (ESOP)
401(k) with 3% company match
Paid time off (PTO) and holidays
Paid volunteer time off (VTO)
Parental and family care leave
Flexible & hybrid work arrangements
Fitness center discounts and free virtual fitness platform
Employee assistance program
Comprehensive medical, dental, and vision benefits
Flexible spending and health savings accounts
2× base salary for group life and AD&D insurance
Voluntary life, critical illness, & accident insurance for purchase
Short‑term and long‑term disability benefits
Training & certification opportunities
Tuition reimbursement
Education bonuses
Seniority Level
Mid‑Senior Level
Employment Type
Full‑time
Job Function
Engineering and Information Technology
Insurance
Diversity & Inclusion Our goal is to attract, develop, and retain the best employee talent from diverse backgrounds while promoting an environment where all viewpoints are valued. We actively support initiatives led by the American Property Casualty Insurance Association that aim to increase diversity in the insurance industry.
RLI is an equal opportunity employer and does not discriminate in hiring or employment on the basis of race, color, religion, national origin, citizenship, gender, marital status, sexual orientation, age, disability, veteran status, or any other characteristic protected by federal, state, or local law.
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Role Overview Collaborate with product, actuarial, analyst, and engineering teams to design, build, deploy, and maintain curated data and analytical models in Snowflake. Contribute to establishing a repeatable, scalable data science foundation at RLI.
Key Responsibilities
Design, create, document, and maintain user‑friendly data products for models and non‑technical end users.
Develop, train, and deploy models using Snowflake Cortex, Snowpark, and integrated Python execution.
Own the end‑to‑end model lifecycle: experimentation, feature engineering, validation, production deployment, and monitoring.
Work closely with underwriting, claims, actuarial, and analyst teams to translate business needs into data science solutions.
Partner with data engineering to ensure the availability and readiness of Snowflake‑based datasets for modeling and inference.
Contribute to model governance, reusability standards, and operational monitoring frameworks.
Stay current on Snowflake’s evolving capabilities to align model development with platform best practices.
Assist in building a shared foundation for data science best practices and help inform future tooling and infrastructure investments.
Required Qualifications
3–5 years of hands‑on experience in applied data science or machine learning roles.
Proficiency in Python (e.g., scikit‑learn, XGBoost, pandas) and SQL.
Experience developing and deploying models in Snowflake using Snowpark, Cortex, or similar cloud‑native tools.
Strong understanding of supervised learning, feature engineering, and model performance evaluation.
Proven ability to work cross‑functionally with both technical and non‑technical stakeholders.
Excellent problem‑solving, communication, and documentation skills.
In‑office requirement of 3 days minimum in our Peoria or Chicago office.
Preferred Qualifications
Background in insurance, risk modeling, or financial services.
Experience working in environments with governed data platforms and production ML workflows.
Exposure to MLOps practices, model versioning, and drift monitoring.
Why Join RLI?
Opportunity to shape the future of data science at a financially strong, innovation‑minded company.
Work with a modern data stack (Snowflake, Power BI, Azure).
Partner closely with experienced leaders and cross‑functional teams.
Make a direct impact on underwriting precision, claims operations, portfolio risk management, and product innovation.
Compensation Overview The base salary range for this position is $107,411.00 – $156,551.00 per year. Salary offers are influenced by geographic location, experience, scope & responsibilities, qualifications, and business needs. The total rewards package includes competitive benefits and opportunities for performance‑based incentives.
Benefits
Annual bonus plans
Employee stock ownership plan (ESOP)
401(k) with 3% company match
Paid time off (PTO) and holidays
Paid volunteer time off (VTO)
Parental and family care leave
Flexible & hybrid work arrangements
Fitness center discounts and free virtual fitness platform
Employee assistance program
Comprehensive medical, dental, and vision benefits
Flexible spending and health savings accounts
2× base salary for group life and AD&D insurance
Voluntary life, critical illness, & accident insurance for purchase
Short‑term and long‑term disability benefits
Training & certification opportunities
Tuition reimbursement
Education bonuses
Seniority Level
Mid‑Senior Level
Employment Type
Full‑time
Job Function
Engineering and Information Technology
Insurance
Diversity & Inclusion Our goal is to attract, develop, and retain the best employee talent from diverse backgrounds while promoting an environment where all viewpoints are valued. We actively support initiatives led by the American Property Casualty Insurance Association that aim to increase diversity in the insurance industry.
RLI is an equal opportunity employer and does not discriminate in hiring or employment on the basis of race, color, religion, national origin, citizenship, gender, marital status, sexual orientation, age, disability, veteran status, or any other characteristic protected by federal, state, or local law.
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