CompuSafe Data Systems AG, part of the audius Group, is hiring an Actuary in Data Science in Stuttgart. You will build stochastic models for risk, cancellation and conversion using machine learning and data mining, build tools for actuarial analysis and join strategic projects in agile teams. The pay range is €62,000 to €70,000, and the benefits include a 20% pension subsidy from day one, flexible hours and remote work options. If you have a Master’s degree, strong Python or SQL skills and good German, this actuarial data science job in Germany is worth a close look.
About the Employer — CompuSafe Data Systems AG
Company: Offering customized IT services and IT transformation to corporate clients since 1989, as part of the audius Group
Service Model: Consult-Design-Build-Operate-Manage (CD-BOM) value chain, with a focus on project management and support for application and data center operations
Second Focus: IT transformation, including legacy application replacement, the move to 5G and IT workforce transformation
Values: The highest priority on legal certainty and compliance in all projects and services
Why This Actuarial Data Science Role Stands Out
Modeling With Impact: Build stochastic models for risk, cancellation and conversion with modern machine learning methods
Idea to Delivery: Take continuous responsibility in strategic projects, from idea through to implementation
Strong Employer Ratings: A reported 87% recommendation rate over the last 12 months and a 4.3 score on Kununu
Flexibility: Flexible working hours and remote work options support your work-life balance
Position Overview
This role sits where actuarial thinking meets data science. You design and implement stochastic models for risk, cancellation and conversion, using machine learning and data mining. You also build and extend tools for actuarial analysis, automate and improve existing processes, and keep all involved departments in the loop through coordinated communication.
Why This Role Matters: Good models turn raw data into decisions about risk and customer behavior. By combining actuarial rigor with modern data tools, you help clients understand what is likely to happen and act on it.
Key Responsibilities
Modeling & Analysis
- Design and implement stochastic models, such as risk, cancellation and conversion models, using machine learning and data mining
- Develop and expand tools for actuarial analysis
Projects & Process Improvement
- Take part in strategic projects in agile, interdisciplinary teams, with continuous responsibility from idea to implementation
- Automate and optimize existing processes
- Communicate in a coordinated way with all involved departments
Qualifications
Essential Requirements
- A completed Master’s degree in computer science, mathematics, physics, statistics or similar, or a comparable qualification
- Excellent knowledge of Python, PySpark, R or SQL
- Experience with current technology trends
- Very good German, at least C1 level (and English at C1)
Nice to Have
- Experience in data modeling, machine learning and data mining
About CompuSafe — Where You Would Work
CompuSafe Data Systems AG has offered customized IT services to corporate clients since 1989. Its deep understanding of client challenges and processes lets it offer targeted solutions to complex problems. The company states that gender, origin, religion, age and similar traits play no role in who it hires, and that it values people who enjoy their work and treat each other with respect.
Career Excellence: Actuarial data science, stochastic modeling, machine learning, Python and SQL — Actuary in Data Science, Stuttgart, Germany 2026.
Who Should Apply?
- Actuaries Moving Into Data Science: Who want to use machine learning on risk and customer data
- Data Scientists with a Maths or Statistics Background: Interested in stochastic modeling
- Python and SQL Specialists: Who enjoy building tools and automating processes
- Master’s Graduates in Physics or Computer Science: With strong German and English
Recently Opening Job👇
