Consulting4IT GmbH | Germany | 76xxx Waldbronn, Karlsruhe | Apprenticeship | Full time / Home office | Published since: 01.12.2025 on stepstone.de
Dual study program Data Science & AI (m/w/d)
Who we are: We are a dynamic, owner-managed company in the Karlsruhe Technology Region. As a system specialist in enterprise service management, we rely on tailor-made solutions that really advance our customers. With a clear focus on the latest technologies and products of our renowned partners – Matrix42 and Nexthink – as well as our own product F4SD, we help companies to optimize their processes and increase their efficiency. We focus on cooperation and customer orientation. We believe in partnerships that create real values. Together with our customers, we create future-proof solutions that not only convince today but also exist tomorrow. .
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Your tasks • Your profile • What we offer
Who we are: We are a dynamic, owner-managed company in the Karlsruhe Technology Region. As a system specialist in enterprise service management, we rely on tailor-made solutions that really advance our customers. With a clear focus on the latest technologies and products of our renowned partners – Matrix42 and Nexthink – as well as our own product F4SD, we help companies to optimize their processes and increase their efficiency. We focus on cooperation and customer orientation. We believe in partnerships that create real values. Together with our customers, we create future-proof solutions that not only convince today but also exist tomorrow.
Who we are looking for: Design the data-driven future with us – practical, strategic and effective!
Change data, how companies think and act. This is why we offer a dual study site in the Data Science & AI sector from 2026 – for those who want to analyze, but also shape.
Is that what you're talking about? Then start your dual study at Consulting4IT! From the start, you are in the middle of us: you learn everything about modern data strategies, use cases, data platforms and business intelligence. From data-interested entry to active role in real projects – we make you fit for the data-driven future. Whether in reporting, in ML/KI applications, in coding or in modelling: You are part of a team that really changes things – practical, strategic and effective. Your responsibility with us: Understanding data & developing solutions: You analyze real business data and program smart tools and dashboards with Python, SQL and Co. Working with real use cases: Together with the team, you will find out where data is going – and help implement these projects. Dashboards, who say what: You create visualizations that make numbers live – for specialist areas, IT and decision-makers. Business meets Tech: You connect two worlds: You understand the language of IT and business and become the bridge between both. Hands-on from day 1: You work directly in projects – not a coffee maker, but you work properly! In your practice phases you work mainly at our site in Waldbronn. After consulting the team, you can work at home office.
What you bring: Joy of logical thinking & programming: You have fun understanding logic, solving problems and recognizing structures. Whether mathematics, statistics or first programming experiences – you bring curiosity and stamina. Enthusiasm for data & digital technologies: You want to know how to work with data, how companies make data-based decisions and how future technologies like AI work. First experiences with tools (of advantage but no need): Excel, Power BI, Python or SQL are not strange to you – maybe you have worked with data or code in school, internship or private. Team player with own initiative and learning pleasure: You like working with others, questioning things and introducing your own ideas. You don't just want to watch, but to help shape – in the team, in the project and in your personal development. Whether your degree was very good or “okay” is less important to us than your enthusiasm for mathematics, computer science or economic relations. If you are interested in numbers, data and logical thinking – and you want to learn – you are right with us. You don't have to be a data professional to get started with us. It is much more important that you are curious to be interested in topics such as Data Science & AI – and you really want to move something at Consulting4IT. Whether it's right for the school or with a different way: we don't look for perfect careers, but honest motivation, fresh ideas and people who want to fit into the team and get involved right.
Why you should come to us: With us you are not simply “the student” or “the dual” – you are part of the team. We accompany you personally and professionally on your way and give you the freedom to grow beyond you. Learning, co-shaping and celebrating success together are of course part of our work. We offer you: Individual development: We promote your professional and personal development from the first semester – with clear learning structure, mentoring and real practical projects. Strong team engagement: You work closely with our teams and departments, get real feedback and experience a working environment where esteem, humour and cohesion are raised. With design instead of just watching: Your ideas are welcome! Whether for internal projects, technical solutions or team events – we look forward to your perspective. Fair remuneration: You will receive an attractive remuneration for your commitment – including a takeover perspective with successful completion. Other benefits: Enjoy additional services such as corporate benefits, flexible working hours and modern technical equipment. Not only do you learn theory with us – you pack up, grow in real tasks and become part of our mission to create real value from data. Then contact us - by e-mail to bewerb@consulting4it.de or very much also via the Applicant button at the end of this page. We are happy to meet you! !
Location
![]() | Consulting4IT GmbH | |
| Waldbronn, Karlsruhe | ||
| Germany |
The text of this ad was translated from German into English using an automatic translation system and may contain semantic and lexical errors. Therefore, it should be used for introductory purposes only. For more detailed information, see the original text of the ad at the link below.
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