Trainee Software Engineer (m/w/d)
Focus: Building and developing software applications with a focus on APIs and GenAI-based solutions in client projects - You work as part of
Focus: Building and developing software applications with a focus on APIs and GenAI-based solutions in client projects - You work as part of
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Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
Focus: Building and developing software applications with a focus on APIs and GenAI-based solutions in client projects - You work as part of project teams to design, build, and further develop software applications for clients - You support the identification and definition of requirements and help translate them into effective, client-oriented solutions - You develop and implement software solutions with a focus on APIs and GenAI-based applications across different industries and use cases - You support bringing developed solutions into production and contribute to stable and reliable system operations with a focus on business value - You assist in troubleshooting and resolving common application and system issues - You actively contribute to internal knowledge-sharing formats and team learning initiatives - You support senior consultants in their daily work, for example by helping prepare client presentations and project materials
You have strong Python skills and are familiar with advanced concepts such as asynchronous programming - You are able to write clean, maintainable, and well-structured code and apply common design and programming patterns where appropriate - You have experience with widely used Python frameworks and libraries such as FastAPI and Pydantic - Experience with data science or AI libraries such as scikit-learn or OpenAI is a plus - You have initial hands-on experience with GenAI-based solutions - You are familiar with modern Python tooling such as uv, ruff, or ty - You use modern coding tools, including agentic coding approaches, to increase development speed while maintaining or improving code quality - You communicate clearly and have good English skills and solid basic German skills, both written and spoken, with the motivation to further improve your German - You work in a reliable, structured, and organized manner Our 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 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.
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.
statworx is a leading consulting and development company for data and AI, based in Frankfurt am Main. We offer strategic consulting for medium-sized businesses and global corporations. We develop innovative data and AI solutions across all business areas and corporate functions.
We empower people at all levels of expertise with our data and AI education formats. In short: We support companies in all aspects of digital transformation – for over 10 years, in more than 1000 data and AI projects, and for over 100 clients from almost all industries. Our AI Development department serves as a facilitator for Data & AI transformation.
We are taking 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. Through our deep expertise in Data Engineering, Data Science, Machine Learning, we ensure that our clients gain the maximum value from their data. For our AI Development team, we are looking for trainees who we will specifically prepare for their future role as Junior Consultants with a focus on Data Science within one year.
You can find detailed information about our trainee program here.
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Zur OriginalanzeigeData Science steht in Anzeigen oft für die Arbeit vor dem Modell: Daten zusammentragen, verstehen, bereinigen, eine Frage so stellen, dass sie beantwortbar wird. Viele dieser Rollen heißen weiterhin Data Scientist, haben in den letzten Jahren aber KI-Aufgaben dazubekommen, etwa ein Sprachmodell für eine Auswertung einzusetzen. Verlangt werden meist SQL, Python und die Fähigkeit, ein Ergebnis einem Fachbereich zu erklären, der keine Statistik studiert hat. Wer lieber Modelle baut als Fragen beantwortet, sucht besser unter Machine Learning.