Data Scientist Professional

Responsibilities

• Develop and maintain predictive models for risk, claims, and segmentation
• Translate complex business problems into data-driven insights and analytical solutions
• Perform data exploration, validation, and transformation using structured and unstructured data
• Leverage modern analytics platforms, such as Databricks, to build scalable solutions
• Analyze operational and behavioral truck data to identify patterns and opportunities
• Support actuarial modeling through advanced analytics and feature engineering
• Build and maintain dashboards, reports, and monitoring frameworks for business performance
• Provide clear, actionable recommendations to business stakeholders

Requirements

• Strong experience in Data Science or Advanced Analytics
• Proficient programming skills in Python
• Solid knowledge of statistical modeling
• Experience working with complex, real-world datasets
• Strong understanding of data engineering concepts, including pipelines and transformation
• Ability to solve problems in ambiguous and evolving environments
• A builder mindset with the ability to own problems end-to-end

Preferred Qualifications

• Familiarity with Databricks
• Experience in insurance, mobility, logistics, or financial services

Benefits

• Opportunity to build analytical solutions from the ground up
• Direct impact on product, pricing, and business strategy
• Exposure to real business decisions and leadership discussions
• Access to modern tools and platforms
• A dynamic environment combining analytics, business, and innovation

About the Company

Volvo Financial Services is the captive finance arm of the Volvo Group. We provide financial services and solutions that meet the evolving needs of our customers, supporting the global transition to sustainable transport and equipment solutions. We are a global organization dedicated to innovation, teamwork, and a culture of care and inclusion.