About the Position

Join statworx as a (Junior) Machine Learning Engineer (m/f/d) in Frankfurt am Main, Germany

statworx is a leading Data & AI Consulting and Development company in the DACH region. We have been helping organizations succeed with consulting, development, and training for over a decade, delivering over 1,000 successful projects for more than 100 clients across nearly every industry.

Our AI Development department serves as a facilitator for Data & AI transformation. We take a holistic approach, from the initial evaluation of AI maturity, through the design and development of data and AI solutions, to the practical implementation and scaling of AI solutions. Our deep expertise in Data Engineering, Data Science, Machine Learning, ensures that our clients gain the maximum value from their data.

Responsibilities

Support and deliver end-to-end machine learning projects for clients, focusing on time-series and forecasting use cases such as demand forecasting, pricing, anomaly detection, and predictive maintenance
Design, implement, validate, and deploy machine learning models based on tabular and time-series data
Apply statistical and causal reasoning to solve complex business problems using approaches such as controlled experimentation, uncertainty quantification, and decision optimization
Contribute to building robust, scalable, and maintainable ML pipelines and support deploying models into production on modern cloud infrastructures such as Azure, AWS, or GCP
Collaborate closely with stakeholders and customer representatives to ensure alignment and successful project delivery
Work with experienced consultants, data scientists, and engineers across different industries and use cases while continuously developing your technical and consulting skills
Gradually take ownership of workstreams, contribute to proposal development, and support the further development of internal best practices in forecasting and applied machine learning

Requirements

Bachelor’s or Master’s degree in a quantitative field such as data science, statistics, mathematics, economics, computer science, business informatics, or a related discipline
Initial practical experience in data science, for example through internships, working student roles, or one to three years of full-time experience in a relevant environment
Very good Python skills and confidence working with modern tools and libraries for data analysis, machine learning, and software development
Strong foundation in machine learning and statistics and understanding of how to apply it for model validation, interpretation, causal reasoning, and deriving business-relevant insights
Hands-on experience with time-series forecasting using statistical, feature-based, and modern neural methods such as ARIMA or ETS, LightGBM or XGBoost, N-BEATSx or N-HiTS, TFT or PatchTST
Exposure to modern time-series foundation models such as TimesFM, Chronos, or Moirai is a plus
Strong communicator with very good German skills at least at B2 level and excellent English skills at C1 level or higher
Curious, proactive, and structured in your way of working and motivated to grow in a consulting environment

Nice to Have

First exposure to cloud platforms, MLOps concepts, or deploying models into production environments

We Offer

Data & AI at the core: Work on diverse and challenging projects with leading clients across various industries – from data-driven solutions to innovative AI applications
Professional variety & growth: Tackle complex, multifaceted questions and continuously expand your expertise in your field as well as in the broader Data & AI landscape
Continuous development: We support your methodological, professional, and personal growth through regular feedback, tailored learning opportunities, training formats, and our mentoring program
Culture & collaboration: You’ll be part of an open, diverse, and respectful work environment with flat hierarchies, short decision-making paths, and a strong sense of team spirit
Modern ways of working: We embrace an iterative, modern work culture based on clear communication, ownership, and room for new ideas and creative freedom
Transparent compensation: We offer fair, structured, and transparent salary bands that are regularly reviewed and aligned with market and performance developments
Flexible work setup: Our modern Frankfurt office serves as your main workplace – while giving you the flexibility to work remotely on a regular basis and up to four weeks per year from within the EU
Mobility & well-being: Benefit from a subsidized Germany Ticket and discounted access to sports and wellness offerings through Wellpass
Equipment & extras: High-quality IT equipment (e.g., MacBook Pro), regular team events, childcare support, and attractive employee discounts complete your package

About the Company

Your Application

Simply apply via the application form and attach your current CV including a description of your methodological skills. We will contact you as soon as possible. If you have any questions on your application, you can reach us at [email protected].

What is particularly important to us is that we value the uniqueness of each person and always treat each other as equals. Different backgrounds, attitudes, and ideas enrich us and form the basis of our success. That's why we welcome every application - regardless of gender, nationality, ethnic and social origin, religion, ideology, disability, age, or sexual orientation and identity.

(Junior) Machine Learning Engineer (m/f/d)

Job description