Data Scientist
We are looking for an ambitious Data Science specialist to join our international team who is passionate about connecting the worlds of AI, Machine Learning and Insurance. If you see designing intelligent and innovative solutions as not only a challenge, but also an opportunity to shape technology with real impact, join the team at a leading provider of IT solutions and consultancy in the insurance industry.
Job Description
WHAT’S WAITING FOR YOU?
Your work duties and responsibilities include:
- Work on innovative AI solutions – design and implementation of solutions based on Machine Learning (ML), Deep Learning and Large Language Models (LLM), using models such as Claude or GPT.
- Natural Language Processing (NLP) – development and optimization of Retrieval Augmented Generation (RAG) systems, vector and metadata retrieval, reranking, chunking and prompt engineering with the intention to increase the accuracy of models.
- Multimodal models – working with models combining text and image data and their application in the environment of professional insurance software systems.
- Fine-tuning and optimization – an opportunity to work with advanced techniques for fine-tuning foundation models, tuning hyperparameters, and evaluating the performance of AI solutions.
- Analysis and application of ML in insurance – use of mathematical, statistical and actuarial methods in modelling financial and insurance processes.
- Cloud – infrastructure development (IaC: AWS CDK) and integration (AWS SDK), deployment of AI applications and their operation in production (scaling, monitoring, incident management).
- Research and collaboration – engaging in research projects, collaborating with universities and research institutions, with the opportunity to bring new ideas and innovative approaches into practice.
- Collaboration and communication – participating in a team of experts, sharing know-how, consulting ideas and pushing the boundaries of AI together.
Technologies and tools you may encounter:
- Programming languages: Python, SQL, Bash
- Frameworks and libraries: tensorFlow, PyTorch, scikit-learn, Hugging Face Transformers, LangChain/LlamaIndex, pandas, NumPy
- AI and ML areas: machine learning, deep learning, NLP, RAG, LLM (Claude, GPT), multimodal models; vector databases: pgvector (PostgreSQL)
- Data analytics: Supervised/Unsupervised Learning, Feature Engineering, Hyperparameter Optimization; visualization (Matplotlib, Plotly)
- Cloud & MLOps: AWS (S3, SageMaker, Bedrock, Lambda, ECS/EKS, API Gateway, CloudWatch), IaC (Terraform/CloudFormation/AWS CDK), Docker, CI/CD (Bitbucket Pipelines, Jenkins)
- Communication and collaboration: Jira, Confluence, Microsoft 365 (including Microsoft Teams)
Requirements for the applicant
WHAT DO WE EXPECT FROM YOU?
Key skills (MUST HAVE):
- university degree in mathematics, statistics, computer science or related field
- Hands-on experience with Python, TensorFlow (or PyTorch)
- Overview in Data Science, Machine Learning and AI
- Solid theoretical foundation – probability theory, distributions and hypothesis testing
- Interest in NLP, LLM, RAG and modern AI approaches
- Active knowledge of the English language (minimum level B2)
- Analytical thinking and the ability to implement your proposals independently, but also in a team
We also appreciate (NICE TO HAVE):
- Experience with Deep Learning, LLM fine-tuning or multimodal models
- Experience in insurance or financial modelling
- Knowledge of the German language
- Participation in research projects or collaboration with academia
- Natural curiosity, innovative approach and a desire to bring new solutions to practice
Salary and Benefits
WHAT DO WE OFFER YOU?
- Salary from 2 600 € gross – the specific salary depends on your experience and will be the result of an agreement
- Motivational rewards and bonuses (e.g. Christmas bonus up to the value of one month’s base salary)
- Meal allowance above the legal minimum
- Contribution to the 3rd pension pillar
- Hobby allowance 200 € per year
- 5 extra holiday days per year, plus a paid day off on New Year’s Eve.
- Work from home or office – you choose
- Flexible working hours
- Internal and external training
- free German and English language courses with the possibility of receiving a bonus
- Individual and friendly approach
- Team sports activities
- Healthy snacks, quality coffee and teas
- …and many more advantages in the Benefits section
