Senior Data Scientist, EGYM
2 days a week in office
Smart fitness technology for gyms
Open for applications
Smart fitness technology for gyms
201-500 employees
Open for applications
2 days a week in office
201-500 employees
Company mission
To connect the dots between exercise and real health outcomes by partnering with fitness and health facilities worldwide to make workouts smarter, more efficient, and fun for everyone.
Role
Who you are
- 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
What the job involves
- 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 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
Our take
EGYM is a fitness technology company that specializes in providing intelligent workout solutions to fitness and health facilities. By offering a suite of connected gym equipment and digital products, EGYM aims to enhance the exercise experience by making it smarter and more efficient.
The company's portfolio includes gym equipment, software and a corporate health network operation called Wellpass which boasts an impressive user base of over 20 million individuals. By offering this complete fitness technology ecosystem, EGYM enables owners and operators to offer a fully connected workout experience to their members and achieve measurable improvements to business.
With funding under its belt, EGYM has expanded to reach a wider range of gyms, further developed its corporate subscriptions, and invested in R&D. In 2026 it was announced the company would merge with Playlist, the owner of fitness booking service ClassPass, with the new company aiming to build the infrastructure to power the "world’s most meaningful in-person wellness experiences".
Kirsty
Company Specialist at Welcome to the Jungle
Insights
50% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Sep 2024
$200m
SERIES G
Jul 2023
$244.3m
SERIES F
Total funding: $600.4m
Company benefits
- Development budget
- Internal trainings
- Flexible working hours
- EN & DE language courses
- 30 days of holiday
- Hybrid work model
- Corporate Benefits
- Company & team events
- Wellpass membership
- Inhouse gym
- Lease a bike
- Sabbatical
Company HQ
Union Station, Denver, CO
Leadership
Graduated from Ludwig Maximilian University of Munich with a Diploma in Business Administration. Previously worked as an Investor at Vantis, Demodesk, and Personio.
Florian Sauter
(CTO)Graduated from the Technical University of Munich with a Diploma in Electrical Engineering and Information Technology.
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