Data Scientist - Optimization and Advanced Machine Learning

Data Scientist - Optimization and Advanced Machine Learning in

Johnston Job Ref:

3104242388

Employer:

Network Company Name:

FM

Industry:

Information Technology

Job Type:

Full Time

State:

Rhode Island

City:

Johnston

Zip Code:

02919

Post Date:

05/01/2026

Job Description:

Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. As a Data Scientist specializing in optimization and advanced machine learning, you will translate business needs into analytical & AI solutions that drive FM's mission of loss prevention and risk reduction. You will design, develop, and deploy optimization models, AI/ML algorithms, and decision support systems for real world, large scale problems across underwriting, engineering, operations, and innovation teams. You will work in a collaborative, forward thinking analytics environment, leveraging modern tools and technologies to deliver impactful solutions. Key Responsibilities Build machine learning and AI solutions using Python/R and modern ML frameworks for prediction, clustering, simulation, and automated decision systems. Develop and deploy optimization models (e.g., linear, nonlinear, mixed integer programming, stochastic optimization) for risk assessment and operational decision making. Lead end to end model development: problem framing, data processing, feature engineering, modeling, validation, implementation, and monitoring. Work with cross functional partners to translate analytical insights into business actions. Work with large scale datasets using SQL or similar tools and implement robust data pipelines. Apply creativity and domain expertise to evaluate and improve model performance and interpretability. Contribute to continuous innovation in optimization, ML, and AI practices across the organization.

Qualifications:

Education (minimum requirement) Master's degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, Data Science, or a closely related field with strong optimization focus. PhD preferred. Experience 5+ years of industry experience in building optimization or machine learning solutions. 5+ years hands on experience with data processing, modeling, and advanced analytics using Python or R. 3+ years experience working with large datasets using SQL or similar technologies. Proven experience leading full cycle data science or optimization projects from ideation to deployment. Hands on experience with cloud based analytics and machine learning platforms, preferably Azure Databricks Technical Skills Strong Knowledge & Practical Experience in: Optimization methods: Linear / Non linear programming Mixed integer optimization Metaheuristics (GA, simulated annealing, evolutionary algorithms) Stochastic and robust optimization Core Machine Learning algorithms: Tree based models, gradient boosting Clustering & unsupervised learning Neural networks and deep learning fundamentals Simulation Model evaluation, validation, and experimentation Data wrangling, feature engineering, and pipeline design ML engineering practices following MLOps principles (model tracking, reproducibility, deployment) Preferred Qualifications Experience in risk management, insurance, or operations modeling. The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, time off allowances and much more. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.