Our Client is one of the United States' largest insurers, providing a wide range of insurance and financial services products with gross written premium well over US$25 Billion (P&C). They serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. The client is part of one of the largest Insurance Groups in the world and is part of the globally recognized Zurich Insurance Group, which oversees its non-claims operations via Farmers Group Inc.
With more than 48,000 exclusive and independent agents and nearly 21,000 employees, Farmers has written over US$25 billion in gross Property & Casualty premiums. The company is a market leader in Personal Lines insurance, offering specialized solutions such as dwelling fire and seasonal property coverage, designed to meet diverse customer needs and protect what matters most.
About The Position
We’re looking for a motivated and detail-oriented Data Scientist I to join our team. In this role, you will work on end-to-end solutions that involve building and operationalizing predictive models, conducting statistical analyses, and creating impactful visualizations that drive real business outcomes across multiple lines of business or shared service functions. You will extract and prepare data from various sources (structured and unstructured), apply advanced analytics techniques (such as clustering, PCA, hypothesis testing, and resampling), and help deploy your models into production. You will also support operational tasks like data validation, managing trackers, and contributing to internal communications, all while navigating shifting priorities in a collaborative, fast-paced environment.
This is a fantastic opportunity for someone early in their data science journey who is eager to grow, solve real-world problems, and contribute to high-impact projects. You will be part of a globally renowned group that values innovation, learning, and diverse perspectives.
Responsibilities
End-to-end solution delivery including building and operationalizing predictive models.
Conduct statistical analyses and create visualizations to drive business outcomes.
Extract and prepare data from structured and unstructured sources.
Apply analytics techniques (e.g., clustering, PCA, hypothesis testing, resampling).
Support deployment of models into production and assist with data validation and tracking.
Contribute to internal communications and adapt to shifting priorities in a collaborative environment.
Requirements
Must have
1 to 3 years of experience;
Experience with SQL, Python;
Knowledge in version control with GitHub;
Experience with Power BI or other data visualization tools;
Entry level knowledge with modeling and machine learning algorithms;
Nice to have
Insurance and actuarial skills;
Experience working on a cloud platform (AWS, Azure or other).
Benefits
Competitive salary and performance-based bonuses
Comprehensive benefits package
Career development and training opportunities
Flexible work arrangements (remote)
Dynamic and inclusive work culture within a globally renowned group
Private Health and Dental Insurance
Pension Plan
Meals tickets
Life Insurance
Seniority level
Entry level
Employment type
Full-time
Job function
Analyst
Industries: IT Services and IT Consulting
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