Pricing Data Scientist

Summary

Join Wakam, a European leader in digital and embedded insurance, as a Pricing Data Scientist. You will be part of the Advanced Pricing Analytics team, working at the intersection of actuarial pricing and advanced analytics. Your mission is to design, build, and maintain pricing and risk models, apply machine learning and AI algorithms, lead forecasting initiatives, and collaborate with cross-functional teams. You will also automate model development, monitor performance, ensure regulatory compliance, and mentor junior team members. This role offers the opportunity to shape the future of pricing innovation and work in a tech-first, transparent, and purpose-driven environment.

Requirements

• A Bachelor’s or Master’s degree in Actuarial Science, Data Science, Statistics, or a similar quantitative field
• 5+ years of experience in pricing roles within the insurance industry (P&C preferred)
• Strong background in machine learning, statistical modelling, and pricing algorithms
• Expert-level proficiency in Python, R, and SQL
• Knowledge of model governance, back-testing, and actuarial compliance standards
• Ability to embed models into business workflows and live operational systems
• Strong grasp of insurance economics and how pricing impacts profitability

Responsibilities

• Design, build, and maintain pricing and risk models for a wide range of P&C insurance products
• Apply machine learning and AI algorithms to enhance pricing accuracy and risk segmentation
• Lead forecasting initiatives and align insights with broader strategic and financial planning
• Work closely with Underwriting, Data, and Product teams to deploy models into operational systems
• Automate and optimise the model development lifecycle
• Monitor pricing model performance, conduct back-testing, and make iterative improvements
• Ensure regulatory compliance and contribute to model governance best practices
• Perform market and competitor analysis to inform strategy
• Mentor junior team members and foster a high-performance analytics culture

Preferred Qualifications

• Familiarity with data platforms like Snowflake as well as managing data pipelines and algorithms in a production environment
• Familiarity with AKUR8 or other pricing automation platforms

Benefits

• True remote work flexibility with our Wakam From Anywhere (WFA) program
• Monthly Free.day: dedicated time for personal growth and skills development
• Lunch voucher with Swile card