Actuarial Data Scientist - Remote (EU)

Wakam is a B2B2C insurance company that designs white-label, embedded insurance solutions via its proprietary Play&Plug® technology platform, serving over 80 partners across Europe. We distribute most of our products through APIs and operate fully in the cloud.

Operating in 32 countries — with the vast majority outside of France — Wakam is a European leader in digital and embedded insurance.

We are also deeply committed to social responsibility, embedding transparency and purpose into everything we do.

Wakam is seeking a Actuarial Data Scientist to join our Advanced Pricing Analytics team. This role sits at the intersection of actuarial pricing and advanced analytics, helping us push the boundaries of technical pricing with AI, machine learning, and automation.

You’ll work closely with cross-functional teams (Underwriting, Data, Product) and have a direct impact on how we price risk, improve portfolio profitability, and innovate across product lines.

As a Actuarial Data Scientist in a pricing actuarial team, you will:

• 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
• Evaluate the Wakam’s aggregate risk exposure to identify potential risk accumulation (e.g. by peril, region, or insured value) and ensure alignment with internal limits and reinsurance treaties.
• Track and analyze exposure levels across portfolios, focusing on sum insured, policy limits, and risk accumulation across geographical areas, product lines, and coverages.
• Automate and optimise the model development lifecycle
• Ensure regulatory compliance and contribute to model governance best practices
• Mentor junior team members and foster a high-performance analytics culture

• A Bachelor’s or Master’s degree in Actuarial Science, Data Science, Statistics, or a similar quantitative field
• 3+ 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
• Familiarity with AKUR8 or other pricing automation platforms is a strong plus
• 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

• Naturally curious and analytical — you love turning complex data into actionable insights
• You take full ownership of your projects, from ideation to implementation
• You’re a clear communicator, able to simplify technical concepts for all stakeholders
• You thrive in a collaborative, cross-functional environment
• You’re motivated to share your knowledge and mentor others
• You’re flexible and adapt well to a fast-paced, agile environment
• You are fluent in English; French is a plus or you’re open to learning

• Shape the future of pricing innovation, combining actuarial science with AI
• Work in a tech-first, transparent, and purpose-driven environment
• Collaborate with an international team building pan-European insurance products
• Enjoy flexibility, trust, and room for growth in a high-impact role
• Join one of Europe’s most agile and ambitious digital insurers

We aim to keep the process transparent, engaging, and efficient. Here’s what to expect:

1. Interview with Talent Acquisition Partner
2. Technical & Manager interview Head of Advanced Analytics
3. Team interview with the Advanced Pricing Analytics CoE Team

Recruitment Agencies:

Wakam has an in-house recruitment team, which focuses on sourcing great candidates directly. Wakam does not accept unsolicited resumes from agency or search firm recruiters.

Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired. When we do use agencies, we have a PSL in place, so please do not contact our managers directly.