Data Scientist P&C Products, Processes, and Offering

Role Overview

As a Data Scientist, you will be part of the Product Team ‘Genialytics’ and contribute data-driven insights to the development of P&C processes and products, aiming for measurable efficiency gains.

What You Will Do

You will analyze our offer processes systematically and data-based, identify weaknesses, bottlenecks, and optimization potential, and translate your findings into concrete action recommendations.

Why It Might Be a Fit

You will work closely with Underwriters, Product Managers, AI Engineers, and Data Scientists, and be the bridge between the data world and business expertise, turning numbers into stories that move the business to action.

Requirements

• Experience as a Data Scientist or in a comparable analytical role
• Experience with Process Mining or similar methods for data-based process analysis
• Proficiency in Python and the Data Science Stack (pandas, numpy, scikit-learn, etc.)
• Ability to think deeply in business processes and product logics, understanding not only data but also the business context
• Knowledge in P&C insurance business is a clear plus

Benefits

• Flexibility and freedom: Smart Working (flexible working model)
• Job and family: Family-friendly meeting times, 22 weeks maternity leave, 8 weeks leave for the other parent, child care subsidies, business family allowances, free days for caring for relatives and in challenging, personal situations
• Vorsorge and Versicherungen: Attractive pension fund with far-reaching over-obligatory benefits, including waiver options, up to 30% discount on insurance products
• Flexible benefits: AXA Shareplan (employee participation), CHF 500 annually on the Swibeco benefits platform, discounted lunch or lunch card, Smart Working allowance CHF 200 per year
• Mobility: Reimbursement for half-tax, Reka-Pay up to CHF 1,000 per year (20% discount), fleet discount, free e-vehicle charging, AXA bike rentals
• Healthy balance in working life: Free check-ups, annual health weeks, various movement offers (online/offline), massage offers, rest rooms, Employee Care, online health portal, diverse seminars/events around health prevention & mental health
• Development: 3 days of individual learning time, free coaching, large offer of learning & development opportunities, financial participation in further education, promotion of internal mobility, talent development offers, seminars for employees 55+ (AXA Horizon), engagement in communities on different topics, participation in innovation projects (Innoday, AXA Hackathon, UnConference), 2 days of time for volunteer work (Environment & Social)

Tagged as: Data Analysis, Python