(Senior) Applied Scientist (Machine Learning) (W/M/D)

Hello, let's say "WE"! We—the HUK-COBURG Insurance Group—are among the 10 largest insurance companies in Germany. Founded over 90 years ago, we now serve more than 13 million customers and are the leading insurer for private households and the largest auto insurer in Germany. It's long been a tradition for us to offer more competitive rates than other insurers. Just like our reputation as an employer where YOU can grow and achieve your personal goals. With us, you can build an exciting career—with plenty of team spirit and a sense of togetherness.

We also offer a wide range of attractive benefits that support your professional development—and help you discover new opportunities time and again. 770 job profiles and 35 departments—which together add up to countless career opportunities. Full of chances, but also challenges. And always quite dynamic. Not just in Coburg, but throughout Germany. 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.

Join 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) (m/f/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 decision-making within the company 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 A bonus on top of your salary—13.3 months' salary, performance-based compensation, mobility allowances, and capital-forming benefits Professional Development Achieve your goals – professional development programs, subsidies for self-directed learning, in-house training center Flexibility A good work life and a good personal 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 hour 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, as well as 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 www. Huk. De