FBS Data Scientist I

fully flexible
Work set-up: 
Full Remote
Contract: 
Experience: 
Entry-level / graduate
Work from: 

Offer summary

Qualifications:

Bachelor's degree in a related field such as Data Science, Statistics, or Computer Science., 1 to 3 years of experience in data analysis or modeling., Proficiency in SQL and Python programming., Knowledge of data visualization tools like Power BI and basic machine learning algorithms..

Key responsibilities:

  • Build and operationalize predictive models to support business decisions.
  • Conduct statistical analyses and create visualizations to communicate insights.
  • Extract, prepare, and analyze data from various sources, including unstructured data.
  • Support deployment of models into production and assist with operational data tasks.

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Capgemini XLarge https://www.capgemini.com
10001 Employees
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Job description

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 proudly 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. Finally, our Client is part of one the largest Insurance Groups in the world.

They are part of the globally recognized Zurich Insurance Group, which oversees its nonclaims 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 detailoriented Data Scientist I to join our team. In this role, you’ll work on endtoend 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’ll 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. Youll also support operational tasks like data validation, managing trackers, and contributing to internal communications, all while navigating shifting priorities in a collaborative, fastpaced environment.

This is a fantastic opportunity for someone early in their data science journey who is eager to grow, solve realworld problems, and contribute to highimpact projects. You’ll be part of a globally renowned group that values innovation, learning, and diverse perspectives.

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

          1. Competitive salary and performancebased bonuses
          2. Comprehensive benefits package
          3. Career development and training opportunities
          4. Flexible work arrangements (remote)
          5. Dynamic and inclusive work culture within a globally renowned group
          6. Private Health and Dental Insurance
          7. Pension Plan
          8. Meals tickets
          9. Life Insurance

    Required profile

    Experience

    Level of experience: Entry-level / graduate
    Spoken language(s):
    English
    Check out the description to know which languages are mandatory.

    Other Skills

    • Detail Oriented
    • Collaboration
    • Problem Solving

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