Senior Data Scientist role focused on Generative AI solutions. Working within Analytics and Data Science to enhance customer experiences and drive new business areas.
Responsibilities
Develop and implement generative AI systems in our AWS cloud — e.g., for customer service (AI assistants), internal knowledge work (company GPT), personalization in the online shop, or marketing (generative image AI)
Select suitable LLMs, adapt and fine-tune models, and develop custom models for tasks such as text classification or forecasting
Translate business requirements into technical solutions together with the relevant departments
Drive AI initiatives together with the team and our AI task force — from employee training to building the AI architecture
Evaluate new methods (LLMs, RAG, recommender systems, forecasting)
Work closely with data engineers, analysts and data scientists — including cross-functional topics such as data integration and the further development of our AWS infrastructure
Requirements
A completed degree in Data Science, Computer Science, or a related field — or equivalent practical experience
Several years of experience successfully deploying data science and AI models into production in a corporate environment
Excellent knowledge of Python and common libraries (e.g., PyTorch, Pandas, LangChain)
Solid experience with cloud engineering (ideally AWS) to bring models into production in our infrastructure
Confident handling of databases (Postgres, Redshift, vector DBs) and APIs
Strong communication skills and enjoyment in explaining complex topics clearly
Proactive, solution-oriented working style and enthusiasm for driving innovation within the team
Fluent in German (C1), both spoken and written
Benefits
A permanent position with a 38.5-hour workweek and flexible working hours (flexitime)
Varied tasks where personal responsibility and team spirit complement each other
A great team, full support, thorough onboarding and opportunities for further training
An open atmosphere with short communication lines and fast decision-making processes
A versatile, autonomous and designable work environment both in the office and from home
Collective agreement and additional benefits, such as 30 days of vacation, a €29 Germany public transport ticket, corporate benefits and employee discounts
A modern workplace located in Hamburg-Bahrenfeld with direct S-Bahn and A7 motorway connections
Data Manager managing data analytics consulting projects at PwC. Collaborating on data - driven solutions and overseeing implementation while maintaining client relationships.
Principal Data Science Engineer at Qodea leading development of AI - driven reasoning tools and recommendation systems. Collaborating to bridge advanced analytics with practical implementation in Buenos Aires.
Lead Data Scientist at Target developing predictive and prescriptive algorithms for supply chain optimization. Collaborating across teams to foster data - driven decision - making while ensuring continuous innovation.
Data Scientist working with data analytics to drive efficiency improvements in the energy sector. Collaborate with teams to build and deploy models for actionable insights.
Senior Data Scientist at Betclic developing data products and user experiences in an innovative gaming environment. Collaborating across teams to drive data - driven decisions and product improvements.
Senior Data Science Engineer developing and maintaining machine learning models for fintech company. Collaborating with cross - functional teams to drive product improvements and user insights.
Senior Manager of Data Analytics leading high - impact analytics projects for business strategy at Conduent. Overseeing teams to develop data models and present insights to leadership.
Team Lead for Data Science at PAIR Finance focusing on machine learning product development. Leading a team to innovate in debt collection with AI - driven insights.