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Data Scientist (m|f|d)

Location Munich, Germany Job type Full-Time Work mode Hybrid Job level Professional Job ID 6156-1954 Company MEAG Employment type Regular Area of expertise Data, BI & Analytics
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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 talented Data Scientist for our (Gen)AI Transformation Management Department. The successful candidate will be part of the Agent Development team that develops and tests AI agents for a wide range of use cases as well as continuously improving these agents after their initial implementation. 

Your main responsibilities:


  • Execute prompt engineering and grounding, construction of ML, data mining, and AI models for AI use cases (incl. model selections and fine-tuning as well as design testing and deploying)
  • Develop efficient and accurate analytical models that mimic business decisions and incorporate models into analytical data products and tools
  • Define data requirements for central IT platform in collaboration with data engineers and software engineers
  • Collect, analyze, and interpret large datasets to inform the development of AI-powered agent solutions
  • Ensure quality assurance and implement risk controls (maintaining data governance and associated risks)
  • Work closely with business stakeholders to understand business needs and requirements, providing data-driven insights and recommendations to inform agent solution development
  • Stay up-to-date with emerging trends, technologies, and methodologies in data management, AI, and ML, and apply this knowledge to continuously improve data enabler services and capabilities

Your profile:


  • Master’s degree (or PhD) (e.g., in computer science, mathematics, physics, engineering, or a related field)
  • Several years of experience with working with traditional AI or GenAI solutions
  • 3+ years of working experience in data science (or in similar roles)
  • Proficiency in defining post-processing guardrails, and building satellite ML models
  • Knowledge of natural language processing, hyperparameter/LLM finetuning, and optimally reinforcement learning from human feedback (RLHF) 
  • Experience with data visualization tools and specialization in NLP and text, image, and video
  • Strong programming skills in common programming languages (e.g., Java, C++, Python, Ruby, R)
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
  • Business proficiency in English (C1) and German (C1) are required.

Benefits:


  • 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.

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 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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