Data Scientist / AI Engineer (m/f/d)*

CompanyMunich Re

LocationLondon, England, United Kingdom

Posted At3/13/2026

UK Visa Sponsorship Analytics

Analytics are greyed out due to low classification confidence (39.0%).

Occupation Type

IT business analysts, architects and systems designers

Occupation Code Skill LevelHigher Skilled

Sponsorship Salary Threshold

£54,900 (£28.15 per hour)

Occupation rate applies

Above analytics are generated algorithmically based on job titles and may not always be the same as the company's job classification. You can also check detailed occupation eligibility, and salary criteria on our UK Visa Eligible Occupations & Salary Thresholds page.

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Description

Our Data & Analytics division coordinates and drives data, analytics and AI projects across Munich Re. Our ambition is to lead digital transformation and create new business and strategic options for Munich Re and our clients through data, people and technology.

The AI department enables and supports business & central functions in AI and GenAI by exploring, developing and implementing AI tools and platforms.

We are looking for an experienced Data Scientist / AI Engineer for our AI Implementation Team. In this capacity, you will build and deploy (Gen-)AI products and help design our GenAI infrastructure, playing a key role in realizing our ambition.

Your Job

Serve as the technical lead for cross-functional GenAI/ML projects defining patterns, reviewing code, and ensuring robust, scalable deployments that help our central units generating more and better business.
Build AI capabilities and infrastructure to ensure efficient use of GenAI, NLP, and ML from prototype to production.
Support business units in applying the latest (Gen-)AI methods and act as an expert for AI know-how, tools and methods.

Communicate complex AI concepts and strategic insights effectively across various stakeholder levels, tailoring messages to different audiences and supporting decision-making.

Identify and assess AI innovations and technologies that could offer advantages in the insurance space.

Network with existing quantitative units, and with IT to create an AI community.

Ensure technical excellence and scalability of our AI solutions.

Your Profile

University degree (Master’s or higher) in Computer Science, Physics, Mathematics, Statistics, or a related field.
Extensive theoretical and practical expertise in GenAI and deep learning techniques. Strong knowledge of related technologies, software, and the latest developments in models, libraries, and frameworks.
At least 3 years of hands-on experience in AI, Machine Learning, Data Science in a professional setting, ideally with a focus on AI.
Proficiency in coding (Python), AI/ML frameworks (e.g. PyTorch, JAX), Large Language Models (LLMs) and LLM Applications (like Agentic/Agent setups).
Deep knowledge and experience with cloud platforms and AI infrastructure (e.g., Azure, Databricks, Kubernetes) as well as Software Development Lifecycle and Agile Project management in AI/Data Science/Research environments.

Strong analytical skills and a strategic mindset with the ability to derive actionable insights from complex data.

Communication skills, with the ability and willingness to convey complex AI concepts to diverse stakeholders and drive cross-functional collaboration.

Proven ability to collaborate across teams, particularly in business-driven environments.

Experience in the insurance, risk management, or financial services industry is a plus.

Fluency in English (spoken and written) and willingness to travel as needed.

Application Instructions

Please apply through our online portal and upload your CV, as well as your academic reference letters, including school certificates, graduation certificates and transcripts of record for any degrees. If applicable, please also submit reference letters from any previous employers or certificates from any other qualifications you may have. We recommend writing a cover letter to tell us more about why the position and Munich Re is of interest to you.

About Us

As the world's leading reinsurance company with more than 11,000 employees at over 50 locations, Munich Re introduces a paradigm shift in the way you think about insurance. By turning uncertainty into a manageable risk we enable fundamental change. Join us working on topics today that will concern society tomorrow, whether that be climate change, major construction projects, medical risk assessment or even space travel.

Together we embrace a culture where multiskilled teams dare to think big. We create the new and the different for our clients and cultivate innovation.

Sounds like you? Push boundaries with us and be part of Munich Re.

Our employees are our greatest strength. That’s why we offer them a wide range of benefits. You can find some examples below.

Unlock your potential

Diversity, Equity & Inclusion: we embrace the power of differences and are convinced that diversity fosters innovation and resilience and enables us to act braver and better.
Continuous Learning: we believe that continuous learning is a key differentiator and critical for building new skills and accelerating growth.
Career Mobility: we actively support career mobility, and our strong global and regional presence offers a wealth of career growth opportunities for you.

Rewards & Recognition

Competitive salary: appropriate compensation for your high level of commitment.
Retirement provision: state of the art in-house pension solutions.
Work-life balance: promoting the compatibility of family and work in addition to overall work-life balance.

Health management: focus on your physical and mental health far beyond legal requirements.

Hybrid working: living the best of both worlds – we offer you a very flexible approach as well as the opportunity to work from abroad on an occasional basis.

* Munich Re not only stands for fairness with regard to its clients; it is also an equal opportunities employer. Severely disabled candidates will also be prioritized, if equally qualified.

Münchener Rückversicherungs-Gesellschaft

Lisa Schneider

Consultant Talent Acquisition