FBS Data Scientist (Customer & Agent Solutions)

Overview

The FBS Data Scientist will develop predictive models, advanced analytics solutions and actionable insights supporting strategic decision-making across Customer & Agent Solutions (CAS), partnering with business stakeholders to drive improvements in customer retention, agent experience, operational efficiency and overall business performance.

What you'll do

• Develop and deploy predictive and prescriptive analytics models to support customer and agent-related business initiatives.
• Apply machine learning, statistical analysis and data mining techniques to solve complex business problems.
• Analyze large datasets to uncover trends, opportunities and actionable recommendations.
• Design, build and maintain scalable, production-ready analytical solutions.
• Partner with business stakeholders to translate business objectives into analytical approaches and success metrics.
• Collaborate with Data Engineering, IT and Analytics teams on model deployment and optimization.
• Utilize ML Ops best practices, version control and code documentation standards.
• Present findings and recommendations to technical and non-technical audiences.
• Support business areas focused on customer retention, servicing, operational performance, lead optimization and agent effectiveness.
• Mentor junior team members and contribute to analytics best practices.

What you'll need

• Bachelor's degree in Data Science, Statistics, Mathematics, Business Analytics, Computer Science or a related quantitative field.
• 3+ years of experience in Data Science, Advanced Analytics, Machine Learning or a related field.
• Experience with Python.
• Experience with Advanced SQL.
• Experience with GitHub.
• Experience with Microsoft Office Suite.
• Experience with Databricks.
• Intermediate experience with Machine Learning.
• Intermediate experience with Statistical Analysis, Hypothesis Testing and Descriptive Statistics.
• Experience developing and translating analytical solutions into business outcomes.
• Fluent English communication skills.

Nice to have

• Master's degree in Data Science, Statistics, Mathematics, Analytics or related field.
• Experience within P&C Insurance, Banking, Financial Services or similar highly regulated industries.
• Experience supporting customer service operations or call center environments.
• Experience with call routing optimization, workforce optimization or contact center analytics.
• Exposure to Databricks and modern cloud-based analytics platforms.
• Knowledge of ML Ops, GitHub and model deployment lifecycle management.
• Experience with developing classification and other supervised learning models.

Details

• Location: Brazil.
• Benefits differ based on employee level.
• FBS does not sponsor or obtain work authorization unless explicitly stated; employment is conditional on valid local legal authorization to work in the country where the role is based.
• Employment is exclusive; parallel employment or other business engagements must be disclosed and reviewed under FBS conflict-of-interest policies.