FBS Data Scientist

Capgemini capgemini.com Open · verified Oct 24, 2026

Remote Brazil Full-time Mid-level Data Science

At a glance

Mid-level Data Science role at Capgemini. Remote, Brazil · full-time.

Pay not stated Data Scientist salary

RoleData Science

SeniorityMid-level

LocationBrazil

WorkplaceRemote

EmploymentFull-time

PostedSep 23, 2026 · 4w ago

Role brief

dataroles summary, based on the employer's posting.

What you'll do

Help the Auto and Home Actuarial team move its Base Rate Offset tool into Python
Build and assess predictive models, choosing methods that fit business needs and checking how well they perform
Prepare structured and unstructured data for predictive models, and create programs for predictors and response variables
Create and tune data models for databases, warehouses and lakes, including schemas, tables and query performance
Publish reports that explain results and monitor model performance

What you bring

At least two years of work as a data scientist
Hands-on data modeling with both Python and SQL
Strong communication skills and experience using a cloud environment

Who this fits

This role suits a mid-level data scientist who can work independently to learn and apply Python while supporting actuarial work. It is remote in Brazil.

From the employer

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