Your daily workout

Put your data science and machine learning talent behind a good cause and help make the world a healthier place by developing the next generation of product innovations at EGYM. You will take a leading individual-contributor role on EGYM Genius – the engine that powers personalized training plans for our users – combining LLMs, classical machine learning, and agentic systems from idea all the way to production. Apply now as a Senior Data Scientist (m/f/d) and be part of our Data Science team in Munich or Berlin.

• Model Development : You use EGYM’s diverse training and health data to build machine-learning models that support effective and healthy workouts
• Data Exploration : You analyze complex datasets, validate hypotheses, and develop new approaches for challenging problems
• LLM & Agent Design : You design and maintain LLM-based components and agents that reason over user context, call tools/APIs, and orchestrate multi-step flows to generate, adapt, and explain training plans
• LLM Evaluation : You set up robust evaluation pipelines for LLM features and agents (golden datasets, automatic metrics, human evals, regression checks, and safety/guardrail tests)
• Local & Open-Source Models : You are comfortable going beyond “just an API” - you can work with local/open-source models (running them on our infrastructure, adapting or fine-tuning them, and balancing quality, latency, and cost)
• Collaboration : You work closely with Software Engineering and Product Management while sharing feasibility insights and ongoing results
• Implementation : You develop solutions in a dynamic software environment aligned with the EGYM Tech Radar
• Innovation Monitoring : You track advancements in AI and machine learning to ensure our solutions remain state-of-the-art

Your fitness level

• Experience : You bring 5+ years of experience delivering machine-learning-based solutions, ideally in personalization, recommender systems, or decision-support products
• Programming & Data : You write production-ready Python and work confidently with structured and unstructured data across SQL and NoSQL databases; you’re comfortable collaborating with backend engineers working in Java
• ML & LLMs : You have strong ML fundamentals and hands-on experience building and evaluating LLM-powered features or agents (prompt design, retrieval, tool use, multi-step flows, defining quality criteria, building test sets, running automated and human evaluations, and doing error analysis). You’re also familiar with adapting local/open-source models and understand trade-offs in size, serving, performance, and cost
• Hybrid Approaches : You’re comfortable combining classical ML and LLMs (e.g. for scoring, ranking, recommendation, or as components in larger decision systems)
• Communication & Ownership : You explain complex topics clearly, work effectively with different stakeholders, and see problems through from definition to production launch

Your training goal for your first 6 months

• Domain Knowledge : You become highly familiar with EGYM’s health and training data
• Cross-Functional Experience : You complete a rotation in a software development team and collaborate directly with engineers
• Impact Contribution : You deliver visible product improvements and optimize your work using real usage feedback
• Process Optimization : You help us to standardize how we build and ship models and LLM agents – defining reusable evaluation suites, automating training and deployment steps, and setting up monitoring for quality, drift, and safety
• Product Partnership : You act as a sparring partner for Product Management and help extend our product vision

The equipment we provide

• Modern Culture : Be part of a modern and international company culture where talent and passion are welcomed, heard, and part of the decision-making process
• Continuous Development : Develop your skills with varied, challenging tasks and regular feedback to benefit from a steep learning curve
• Work-Life-Balance : Benefit from flexible working hours, hybrid working policy (2 office days), and 30 days of vacation per year
• Fit & Healthy : Train for free with EGYM Wellpass in several thousand sports and health facilities across Germany and/or use our in-house gym with EGYM products
• Mobility : Enjoy a monthly travel subsidy of 45€ for public transport
• Mentoring Program : Exchange knowledge and grow together across teams and locations through our self-organized mentoring platform
• Discounts : Get a variety of great discounted offers, from fashion to leisure, through our employee benefits portal
• Bike Leasing : Stay active and use our leasing bike offer on your way to work or in your spare time
• Subsidized Pension : Profit from our employer-subsidized pension

Contact Information

Upload your documents (CV, salary expectations and earliest possible start date) and specify the job ID #1807. 

Contact: Marina Lambrecht

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