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.
