Working Student – GAIN
Turn knowledge into impact.
Who we are
Founded in 2006, Rewire is an applied AI company helping organizations reinvent how they work with data and AI. We partner with leading organizations across industries to create scalable business impact by solving complex challenges through data, AI, and technology. Our team of 100+ data scientists, engineers, and change agents operates across Europe from offices in the Netherlands and Germany. Strategic in intent and pragmatic in execution, we combine deep Data & AI expertise with close, committed collaboration.
Collaboration, knowledge sharing, and continuous learning are at the heart of our culture. Through topic communities, expert colleagues, and our internal academy, GAIN, you'll have plenty of opportunities to develop your skills in areas such as Agentic AI, Data Strategy, AI Product Development, and Technology Platforms, while helping clients achieve measurable results.
Join a team that loves learning, solving challenges together, and having fun along the way. Ready to join the ride?
Where you’ll make a difference
Innovate training content - explore opportunities to deliver our training materials in new formats such as videos, e-learnings, podcasts, avatars or custom-made applications
Shape outstanding training programs - create and maintain state-of-the-art materials, case studies, and exercises for our existing GAIN training initiatives
Support training delivery - assist with the preparation, execution, and follow-up of training sessions internally and/or for our clients
Build the future - enhance our clients’ capabilities by training them to work with data and AI both in their daily activities and at a more strategic level
Improve our delivery - support the evolution of our learning platform and ensure that all participants enjoy an excellent (learning) experience
What makes us the right choice for you
Deepen your knowledge in data & AI - not just technically, but also didactically, by learning how to teach it effectively
Thrive in a culture that values autonomy, curiosity, and bold thinking - where your voice matters, ideas turn into action, and your impact is genuinely recognized and rewarded
Step into a role where education meets innovation - contribute ideas and help shape how organizations use data & AI to create real impact
Benefit from personal coaching - receive regular guidance and feedback from experienced professionals who are committed to your growth
Join a vibrant, multidisciplinary team that’s ambitious, collaborative, and just the right amount of nerdy - where learning and laughter go hand in hand
Enjoy a competitive salary and attractive benefits - because every role deserves fair pay and genuine appreciation
Look ahead with strong future prospects - take the opportunity to grow into a full-time role after your studies and kick-start your career in data & AI
Requirements
What makes you shine
You’re a motivated communicator and a curious learner - with a passion for helping others understand and apply data & AI concepts. You’ll thrive with us if you bring:
A strong academic foundation - you’re currently in your 3rd year or beyond of a quantitative or STEM field Bachelor’s or Master’s program (e.g. Data Science, Statistics, Computer Science, Mathematics, Physics) with excellent results
Passion for education and technology - you enjoy translating complex ideas into engaging and impactful learning experiences
A hands-on, growth mindset - you take initiative, embrace challenges, and are eager to learn and develop continuously
Effective communication and storytelling skills - you can explain abstract topics clearly and creatively
Fluency in English (written and spoken)
If you're hesitating because you don't meet every requirement, don't let that hold you back. Strong candidates often underestimate how well they fit a role. If this opportunity excites you, we encourage you to apply!
Where and how you’ll work
Most of your work will take place from our Amsterdam office, where you'll collaborate closely with colleagues and contribute to a variety of projects while gaining hands-on experience in a dynamic and international environment. Rewire's Amsterdam office is more than just a workplace, it's a hub for collaboration, innovation, and problem-solving. And because great work happens when people feel connected, we also regularly come together for team events, celebrations, and Friday drinks.
We're aiming for a minimum of 16 hours per week, ideally around 24 hours spread across three days, allowing you to make a meaningful impact while balancing your studies.
While the Amsterdam office will be your primary workspace, occasional work from home is possible in alignment with your team, providing flexibility and supporting a healthy balance between work and study.
Discover more about our inspiring atmosphere here.
In their own words
"Being a GAIN working student was an incredibly valuable experience for me. What makes this position unique is the focus on translating complex data & AI concepts into clear, understandable stories. This not only deepened my own understanding, but also taught me how to communicate ideas in a way that truly resonates with others. However, the best part of this experience was getting to work with such a fun and inspiring group of people every day, who helped me grow both professionally and personally." - Douwe Terlouw, Data Scientist at Rewire
Sound like your kind of team?
Perfect! If you’re ready to kick-start your career and want to make real impact with data & AI, we’d love to hear from you.
Our selection process includes an initial screening, a capacity test, a recruiter conversation, and two interviews. Along the way, we'll learn more about each other and explore whether we're a great match.
Apply now! And let’s see where this journey takes us.
Questions? Feel free to ask them via [email protected] - we’re happy to chat.
Who you are matters to us!
We welcome all applicants - regardless of gender, background, or LGBT+ identity - because diversity and inclusion are core values for us. We are convinced that a diverse and inclusive workplace fosters creativity, innovation, and success.
We believe diverse teams build better solutions. We are committed to building a more diverse engineering team and particularly encourage women and other underrepresented groups in technology to apply.