Senior AI Scientist

• Design and implementation of machine learning and GenAI solutions for business processes in the insurance industry-from claims management to customer service and internal processes
• Development and optimization of (agentic) AI systems based on modern LLMs
• Architecture, implementation, and operation of production-ready AI frameworks in cloud environments
• Development of statistical methods and evaluation frameworks to measure quality, robustness, and business impact
• Optimization of model inference, latency, and resource efficiency for scalable AI applications
• Close collaboration with engineering, product teams, and business units to transition prototypes into production systems

• A degree with above-average grades (at least a master's, ideally a Ph.D.) in computer science, mathematics, statistics, physics, or a comparable quantitative field
• Several years of experience in data science, machine learning, or AI engineering, as well as in the development of production-ready AI systems
• A solid understanding of the statistical and mathematical foundations of modern machine learning methods, particularly statistical inference, probability theory, experimental design, and causal modeling
• Excellent programming skills in Python, as well as hands-on experience with modern ML and DL frameworks (e.g., PyTorch, Hugging Face, or comparable technologies)
• Practical experience in developing agentic AI systems with LLMs, including RAG, tool calling, structured outputs, reasoning workflows, and multi-agent systems
• Deep understanding of LLM and agent architectures at the system level, including agent orchestration, planning, inference optimization, context management, evaluation of agent behavior, and scaling of production-ready AI systems
• 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, 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 all stages 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.