Qualitatsmanagement jobs in Germany

We are in search of a talented Data Scientist / Machine Learning specialist to join our team as a Data Scientist with a focus on Large Language Models (LLM). The ideal candidate will possess a high level of proficiency in data science and demonstrate a strong emphasis on leveraging large language models. This person should have a deep technical understanding of machine learning, complemented by solid programming skills. We expect you to be autonomous and able to learn. Be ready to regularly learn new things (methodologies, technologies, domains) and adapt to a fast-moving environment. For this role high level autonomy is expected, with ability to propose ideas relevant to the business.

• Work closely with business experts to understand the operational needs (actuarial, marketing, etc.) and translate business needs into solutions.
• Apply latest GenAI techniques for business problems
• Apply data science tools to solve business challenges (including machine learning / visualization / GenAI).
• Work with other departments (IT and business) to ensure operational use of results and measure impacts on key business indicators.
• Collaborate with cross-functional teams to share expertise, and to implement advanced solutions.
• Build relationships with business, provide them technical leadership and guidance.
• Manage and transmit knowledge through appropriate documentation and events (talks, seminars, etc.).
• Contribute to the innovation and advancement of machine learning capabilities within the organization.

We are looking for someone with the following experience and skills:

• 5+ years of strong professional experience
• Work experience in an international environment is a plus

• Master’s degree, equivalent dual diploma or PhD in finance, actuarial, mathematics, statistics, economics, computer science, physics or similar
• Ability to model the reality of business into equations, and to understand the implications and limitations of a model
• Deep understanding of machine learning concepts and algorithms
• Understanding current landscape of modern Large Language Models; experience in using them (inference, APIs, fine‑tuning)
• Excellent knowledge of machine learning tools and libraries
• Working experience in data processing, databases (relational and NoSQL) and data visualization
• Good programming skills (Python, Java, etc.)
• Good software engineering culture (e.g. source control systems experience, code reviews, etc.)
• Work experience in clouds (e.g. Google Cloud, AWS, Azure)
• Work experience in insurance is a strong plus

• Strong communication and storytelling skills with experts and non‑experts
• Analytical skills and mindset to produce useful business insights from data
• Discipline in writing technical and non‑technical documentation
• Ability to work efficiently in multi‑disciplinary team
• Sufficient skills to contribute to complex projects with many stakeholders
• Business acumen
• Problem solving oriented
• Continuous improvement of Data Science skills
• Autonomy, curiosity and innovation capability
• English and German — fluent in speaking and writing — mandatory
• French is a plus

Within AXA Group Operations, Group Data, AI & Innovation (GDAI) explores and scales the value of data, AI, digital transformation, emerging technologies (IoT, Geospatial, Blockchain, Quantum Computing, etc.) as well as innovative business ideas with the potential to disrupt the current insurance business model and to shape future opportunities to better partner in our customers’ lives. GDAI and its spin‑offs consist of 200+ inspiring minds located in Paris, Barcelona, London, Lausanne (on the EPFL campus) in Lausanne, and on San Francisco (on the Stanford campus) incubating and deploying solutions in co‑creation and collaboration with AXA operating entities and strategic partners around the world.

We bring together the expertise, cultural diversity and creativity of over 8,000 employees worldwide and we’re committed to equal opportunities in all aspects of employment (gender, LGBT+, disabled persons, or people of different origins) and to promoting Diversity & Inclusion by creating a work environment where all employees are treated with dignity and respect, and where individual differences are valued.