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Data Scientist (m|f|d)

Location Munich, Germany Job type Full-Time Work mode Hybrid Job level Professional Job ID 6665-2167 Company MEAG Employment type Regular Area of expertise Information Technology
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As the asset manager of Munich Re and ERGO, MEAG makes a significant contribution to the success of Munich Re Group. Our staff bring together peerless know-how in all the relevant asset classes and are the driving force behind our success as one of the world's top asset managers.

We are seeking a versatile and motivated AI generalist with a consulting mindset to join the AI & Data Transformation department. In this role, you will work across the full spectrum of AI transformation—from shaping strategic priorities and advising business stakeholders to managing projects, delivering trainings, and developing practical AI solutions. You will combine business understanding, structured problem-solving, strong communication skills, and hands-on technical capabilities to help embed AI effectively and responsibly across MEAG.



Your main responsibilities:


  • Advise business units and senior stakeholders on AI opportunities, strategic priorities, target operating models, and the practical implications of emerging AI technologies

  • Identify, assess, and structure AI use cases together with business and technology teams, translating ambiguous challenges into clear concepts, roadmaps, and implementation plans

  • Lead and coordinate interdisciplinary AI projects from initial idea and business case through prototyping, implementation, rollout, and benefits tracking

  • Design and deliver AI trainings, workshops, and enablement formats for different target groups, helping colleagues build practical skills and adopt AI responsibly in their day-to-day work

  • Develop prototypes and selected production-ready AI solutions using Python, APIs, large language models, retrieval-augmented generation, AI agents, and other suitable technologies

  • Collaborate with data scientists, data engineers, software engineers, platform teams, and external partners to ensure solutions are scalable, maintainable, secure, and integrated into business processes

  • Prepare decision papers, management presentations, status reports, and recommendations that make complex AI topics clear and actionable for technical and non-technical audiences

  • Support AI governance and portfolio management by documenting solutions, assessing risks and dependencies, and ensuring alignment with applicable data, security, compliance, and responsible-AI requirements

  • Monitor market and technology developments, evaluate relevant tools and providers, and translate trends into concrete recommendations for MEAG

Your profile:


  • University degree in Computer Science, Data Science, Engineering, Economics, Mathematics, or a comparable discipline

  • Several years of relevant experience in management consulting, technology consulting, digital transformation, AI delivery, or a comparable role at the interface of business and technology

  • Broad understanding of the AI landscape, including generative AI, machine learning, data and technology platforms, AI governance, and the organizational requirements for successful adoption

  • Proven ability to structure complex and ambiguous problems, develop pragmatic recommendations, and communicate them convincingly to senior stakeholders

  • Experience managing projects or workstreams across multiple stakeholders, with a track record of moving initiatives from concept to implementation

  • Strong facilitation, presentation, and training skills, with the ability to adapt content to executives, business experts, and technical audiences

  • Hands-on technical capabilities and a willingness to build, test, and improve AI solutions; practical experience with Python, APIs, large language models, prompt engineering, retrieval-augmented generation, or AI agents is highly desirable

  • Entrepreneurial mindset, intellectual curiosity, and the flexibility to switch confidently between strategic, conceptual, operational, and technical tasks

  • Strong collaboration skills and the ability to build trusted relationships across business, technology, governance functions, and external partners

  • Knowledge of asset management, financial markets, or investment processes is an advantage

  • Business proficiency in English and German is required

These benefits await you:


  • Flexibility: Mobile work (option to work from home a few days a week), 30 days of vacation

  • Asset Accumulation & Retirement Planning: Company pension system & employee savings plan 

  • Development: Intensive professional & personal development (internal & external offerings), LinkedIn Learning access 

  • Health: Comprehensive company doctor services, Urban Sports cooperation

  • Family: pme family service, childcare allowance, care assistance, cooperation with daycare centers, flexible working hours 

  • Other: Daily free lunch in our cafeteria, Free hot drinks & water, "Deutschland Ticket Job" subsidy, Events, Underground parking garage with e-charging infrastructure & much more!


    *Please note that this list is based on current collective agreements. These may change. The list is for information purposes only. We do not accept any liability for individual points. 

    MEAG stands not only for a partnership-based relationship with customers, but also for fair treatment of applicants and employees. Regardless of gender. So if we use the masculine form of personal designations, this is purely for the sake of readability. Applicants with disabilities will be given preferential consideration if they are otherwise essentially equally qualified.
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We know that our employees achieve a great deal; that's why we like to give something back. Take advantage of our competitive benefits package.

*This list is for general information purposes only and does not establish any legal claims.

Flexibility

Flexible working (option to work from home for a few days a week), 30 days of vacation

Development

Comprehensive professional and personal development opportunities (internal and external training providers), access to LinkedIn Learning

In-house pension plan & wealth creation

In-house pension plan and benefits that help employees build wealth

Health

Comprehensive employee wellness and fitness offerings

Family

Family support via PME Service, childcare subsidy, support for care givers, partnership with childcare provider, flexible working hours

Other

Free lunch in our cafeteria every day, free hot drinks and water, subsidised public transportation costs, events, underground parking with electric vehicle charging infrastructure, and much more!

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