Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Part Time/Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop tailored (Gen)AI solutions, transition between conception and implementation, identify relevant use cases, and integrate AI services into existing systems.
Job Technologies
Your role in the team
- You will take end-to-end responsibility for the conception and implementation of specific (Gen)AI solutions that create real value in core business, for example through automation.
- You bring your experience with LLMs, RAG, or agentic workflows to develop practical applications — from initial MVPs to robust production solutions.
- Together with the specialist departments, you identify meaningful (Gen)AI use cases (e.g., in document processing, knowledge management, customer interaction, or decision support) and create clarity about what GenAI can realistically achieve.
- You translate complex technical requirements into modern technical solutions and derive clear, understandable recommendations for the specialist departments based on technical metrics.
- They integrate AI services into existing processes and systems, ensuring that these operate stably and reliably in daily business.
- You actively contribute to a team of GenAI users, sharing experiences and best practices (e.g., prompt design, evaluation, monitoring) and helping to build reusable solution components and know-how.
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Our expectations of you
Education
- Completed degree in Computer Science, Mathematics, Physics, Statistics, or a comparable quantitative field.
Qualifications
- Proficient in Python within Data and ML environments (e.g., Pandas, NumPy, scikit-learn, PyTorch/TensorFlow, LangChain/LlamaIndex or comparable libraries).
- Fluent in German and English, with a willingness to undertake occasional business trips.
Experience
- Several years of experience as a Data Scientist with a proactive, implementation-oriented approach and enjoyment of end-to-end responsibility – from idea to productive use.
- Several years of practical experience in Advanced Analytics / Data Science (statistical modeling, Machine Learning, Text Mining, data visualization) as well as hands-on experience with GenAI- and LLM-based solutions - ideally including RAG-/Chatbot setups, agentic workflows, processing unstructured data, and evaluation/monitoring of GenAI systems.
- Strong analytical and conceptual skills in identifying and preparing data sources, ideally with experience in the insurance sector or other highly regulated industries.
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What we offer
- Grow with us! We offer space to shape the future of ERGO together and for each other.
- As you contribute to the successful development of ERGO, you can expect several benefits from us as an employer, such as flexible working hours, development opportunities, fair compensation, and even free hot beverages and water.
- Mobile working is possible up to 50 percent of the monthly working hours and offers you a high degree of flexibility.
- We offer you the support you need to realize your full potential and to balance your work and private life effectively.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
More net
Topics that you deal with on the job
Job Locations
This is your employer
ERGO Group AG
ERGO is one of the leading insurance groups in Germany and Europe. The group is represented in around 30 countries worldwide and focuses on the regions of Europe and Asia. ERGO offers a comprehensive range of insurance, pension and service products. In its home market of Germany, ERGO is one of the leading providers across all lines of business.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Banking, Finance, Insurance
Data Scientist
- Location
- Munich
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
