Hello, let’s say “WE”!

In the Data Analytics Team at HUK-COBURG, we transform data into real added value for over 13 million customers. As Germany’s leading auto insurance provider, we are a long-established and stable company that invests strategically in innovation and its data-driven future. Our agile Data Analytics teams use state-of-the-art machine learning and AI methods to optimize processes, calculate fair prices, manage claims digitally and intelligently, and develop new, innovative insurance products.

Become part of our large data community, work alongside many other experienced data specialists to develop practical machine learning applications, and help shape the transformation driven by data, machine learning, and AI at one of Germany’s largest insurers.

(Senior) Applied Scientist (Machine Learning) (w/m/d)

Coburg, Bavaria, Germany

• Employment Type Full-time
• Weekly Work Hours: 38 hours
• Contract Type: Permanent
• Start Date: Immediately

Here’s what you can look forward to

• Design, development, and refinement of modern machine learning, deep learning, and statistical models for business-critical problems with high strategic impact
• Analysis of complex structured and unstructured data (e.g., text, documents, time series) and development of suitable modeling approaches for predictive analytics, forecasting, and anomaly detection
• Application and evaluation of modern ML and DL methods, including neural networks and Transformer-based models for unstructured data
• Planning, conducting, and evaluating experiments, as well as developing and validating data-driven hypotheses to support corporate decision-making
• Translating scientific insights from machine learning, deep learning, statistics, and optimization into robust, production-ready applications
• Development and operation of scalable, reproducible ML and DL pipelines using modern MLOps standards with a focus on stability, scalability, and traceability

Your Profile

• A completed degree (at least a master’s, ideally a Ph.D.) in data science, machine learning, mathematics, physics, economics, computer science, or a related field
• Several years of professional experience as a Data Scientist (f/m/d), Machine Learning Engineer (f/m/d), or in the field of Advanced Analytics, ideally with a focus on marketing, customer analytics, or data-driven business models
• In-depth knowledge of machine learning, statistical modeling, predictive analytics, and the development of productive data science solutions
• Strong programming skills in Python and in-depth theoretical and practical knowledge of modern machine learning techniques and tools
• Ideally, experience with causal inference, uplift modeling, recommender systems, or personalization solutions
• A solution-oriented, hands-on approach that embraces experimentation, with a high degree of personal responsibility and a willingness to take ownership of projects and results
• Hybrid work model: Willingness to work on-site in Coburg

Our Benefits

Employer contributions

Your salary bonus – 13.3 months’ salary, performance-based compensation, mobility allowances, capital-forming benefits

Professional Development

Achieve your goals – professional development programs, subsidies for self-directed learning, in-house training center

Flexibility

Good work and a good life go hand in hand – the option to work from home or on the go for up to half of your monthly working hours

Work-Life Balance

Work when it suits you best – flexible working time models with flex time, 31.5 days of vacation, Christmas and New Year’s Eve off

Career & Family

To ensure you feel at home with us, we create the right conditions—support for childcare and vacation care, as well as caregiving for family members, and part-time leadership positions

Health & Well-being

When you’re doing well, we’re doing well—programs for exercise, nutrition, and mental health, plus subsidies for gym memberships and preventive health courses

Retirement Planning

Thinking about tomorrow today—company retirement plan

Employee Counseling

Sometimes it’s just good to get an outside perspective—employee counseling to support you through every stage of life

Company Bike

Cycling instead of driving—subsidies for your company bike

Have we piqued your interest?

Then apply now!

HUK-COBURG
Mutual Liability Insurance Fund for Motorizing Civil Servants in Germany, Coburg HUK-Coburg Platz 1 | 96444 Coburg