Welcome page Returning Candidate? Log back in! Associate Data Scientist Location US-RI-Johnston Job ID 2025-15480 # Positions 1 Work Location Works from an office location Employee Type Regular Category Data Analytics Min USD $90,720.00/Yr. Max USD $130,400.00/Yr. On-Site, Remote, or Hybrid? On-Site Overview

FM is a leading property insurer of the world's largest businesses, providing more than one third of FORTUNE 1000 size companies with engineering-based risk management and property insurance solutions. FM helps clients maintain continuity in their business operations by drawing upon state-of-the-art loss prevention engineering and research; risk management skills and support services; tailored risk transfer capabilities; and superior financial strength. To do so, we rely on a dynamic, culturally diverse group of employees, working in over 100 countries, in many challenging roles.

Responsibilities

As an Associate Data Scientist, you will be a key member of our Data Science team, focusing on translating business needs into actionable analytics and advanced AI solutions. This role offers the opportunity to innovate, explore, and build solutions for FM using emerging technologies.

 

Responsibilities:

Integrate data from multiple data sources and conduct data preparation tasks to

identify and process anomalies.

Assist in developing, validating, and deploying data science models.Present and explain findings and results in a clear and understandable manner for business stakeholders.

 

Your projects will be interesting, exciting, and challenging! You will use data science to advance the mission and goals of FM.

Qualifications Master's degree in Statistics, Computer Science, Data Science, Operations Research, or a related field.At least one year of experience with predictive or prescriptive analysis projects.Three years+ of experience in data processing, statistical analysis, and modeling using tools such as Python and R.Three years+ of experience processing large datasets using SQL or similar tools.Advanced knowledge and working experience in one of the following fields:Generalized Linear Models (Logistic Regression, Zero-Inflated Model, etc.)Model RegularizationProbability DistributionsHypothesis TestingMachine Learning (Random Forest, Clustering, Gradient Descent, Gradient Boosting, etc.)SimulationOptimizationStrong preference for candidates with working experience in cloud platforms such as Databricks.

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.

 

#FMG

 

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