Description

FBS – Farmer Business Services is part of Farmers operations with the purpose of building a global approach to identifying, recruiting, hiring, and retaining top talent. By combining international reach with US expertise, we build diverse and high-performing teams that are equipped to thrive in today’s competitive marketplace.

We believe that the foundation of every successful business lies in having the right people with the right skills. That is where we come in—helping Farmers build a winning team that delivers consistent and sustainable results.

Since we don’t have a local legal entity, we’ve partnered with Capgemini, which acts as the Employer of Record. Capgemini is responsible for managing local payroll and benefits.

What to expect on your journey with us:

• A solid and innovative company with a strong market presence
• A dynamic, diverse, and multicultural work environment
• Leaders with deep market knowledge and strategic vision
• Continuous learning and development

Turn raw insurance data into actionable insights and deployable models that support pricing, underwriting, and business strategy decisions. We are looking for a skilled Data Scientist to bridge the gap between complex business requirements and efficient database design. You will create conceptual, logical, and physical data models that optimize storage, ensure data integrity, and scale seamlessly across our data warehouse and operational systems.

Responsibilities

• Help support Auto and Home Actuarial team update Base Rate Offset tool into Python.
• This role requires strong Python skills as well as self-learning skills.
• Uses appropriate modeling techniques to address business needs.
• Utilizes broad knowledge of advanced modeling techniques and procedures to develop new modeling techniques and skills.
• Conducts appropriate evaluation of model performance.
• Designs and publishes reports to communicate results and track model performance.
• Develops various programs including predictor and response variable programs.
• Supports preparation of internal/external, structured/unstructured data sets to build/rebuild/refresh predictive models.
• Develop and maintain conceptual, logical, and physical data models for relational databases, data warehouses, and data lakes.
• Implement best-practice data warehousing structures, including star schemas, snowflake schemas, fact tables, and dimension tables.
• Optimize queries, normalize/denormalize data schemas, and reduce redundancy to boost database performance.

Requirements

• 2+ years of experience working as a Data Scientist
• Experience performing Data Modeling with Python and SQL
• Strong communication skills
• Experience working with a Cloud Environment

Nice to Have

• Experience with SnowFlake

Benefits

1. Competitive salary and performance-based 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

By applying for this position, candidates acknowledge and agree that:

• Personal Data Processing: The personal data provided during the recruitment and selection process will be collected, processed, and retained for legitimate recruitment and compliance purposes, in accordance with applicable data protection and privacy laws and FBS internal policies.

• Legal Authorization to Work: Employment with FBS is conditional upon the candidate having valid, local legal authorization to work in the country where the role is based at the time of hire. FBS does not sponsor or obtain work authorization unless explicitly stated.

• Exclusivity of Employment and Conflict of Interest: Upon acceptance of an offer and during employment with FBS, employees will not be permitted to engage in parallel employment, professional activities, or paid work for other entities. Any ownership, partnership, directorship, or participation in other businesses or companies must be fully disclosed and formally reviewed in accordance with FBS internal conflict‑of‑interest and external engagement policies prior to the start date or as soon as such circumstances arise.

Failure to comply with these conditions may impact the hiring decision or employment continuation.