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

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.