(Senior) Applied Scientist (Machine Learning)

• 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

• 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

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

Mehr als 12 Mio. Kunden vertrauen der HUK-COBURG. Als großer deutscher Versicherer mit der Zentrale im oberfränkischen Coburg stehen wir für die bedarfsgerechte Absicherung privater Haushalte. Verursacht das Auto der Zukunft weniger Unfälle? Wie sieht die Altersvorsorge aus, wenn alle 100 Jahre werden? Unsere mehr als 10.000 Mitarbeiter beschäftigen sich schon heute mit den Fragen von morgen.
Das bedeutet für uns Arbeiten an der Zukunft und dafür suchen wir die besten Mitarbeiter.