Make impact. Be human. Stay curious.
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. Wanna join the ride?
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Drive data & AI projects forward – analyze data, build models, and deliver insights that create real business impact
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Apply cutting-edge machine learning techniques – solve complex, real-world problems with innovative approaches
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Develop algorithmic solutions – take ownership of your work and help transform high-impact business processes
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Contribute to organizational change – implement data & AI innovations supported by GAIN®, our certified education and training portfolio
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Use technical expertise and communication skills – build scalable data & AI solutions that drive value across the organization
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Collaborate with cross-functional teams from both the client and Rewire – contribute from day one while learning from experienced leaders
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Be part of groundbreaking change as we scale a business in a fast-evolving industry with a dedicated international growth strategy, a team of experts, and the support of an experienced investor
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Step into a role where you contribute ideas, support innovation, and help shape how organizations use data & AI to create real impact
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Deepen your skills in data & AI – gain exposure to diverse industries, tackle real-world challenges, and grow through hands-on projects and expert mentorship in a future-focused environment
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Grow through hands-on projects, mentorship from experienced engineers, and meaningful opportunities for professional growth
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Join a vibrant, multidisciplinary team that’s ambitious, collaborative, and just the right amount of nerdy, where learning and laughter go hand in hand
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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
You’re a motivated problem solver and a curious learner – with a passion for turning data & AI into real business impact. You’ll thrive with us if you bring:
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Master’s degree in a quantitative or STEM field (e.g., Data Science, Statistics, Computer Science, Mathematics, Physics) paired with dedication, and solid academic results
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Practical experience through internships, projects, or research – demonstrating your ability to work with data, build models, and extract actionable insights
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A hands-on, growth mindset – you take ownership of your tasks, embrace challenges, and contribute to solutions that create real value
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Strong communication skills and a collaborative spirit – you enjoy working in teams, explaining technical concepts clearly, and supporting a positive, inclusive work environment
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Sharp analytical and technical skills – you excel at both problem-solving and implementing solutions that bridge business and technology
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Fluency in Dutch and English (written and spoken), and willingness to travel to client sites when needed
In addition to meaningful projects, continuous learning opportunities, and a collaborative environment, we offer a competitive package, access to multi-year GAIN education programs, mobility benefits, pension arrangements, hybrid working options, and a vibrant company culture with sports clubs, social events, team activities, wellbeing initiatives, and celebrations that foster connection, fun, and personal growth.
Most projects involve working onsite at client locations across the Netherlands, with opportunities to collaborate with clients in Germany and elsewhere in Europe, including travel as projects require.
Work is typically split between client sites and the office, providing a balance between collaboration with clients and time with the internal team.
When you're not onsite with clients, you're welcome to work from our Amsterdam office or from home. Rewire’s Amsterdam office is more than just a workplace – it's a hub for collaboration, innovation, and problem-solving, where we come together to shape the future.
Discover more about our inspiring atmosphere here.
“What I really enjoy about my job at Rewire is working on complex data puzzles and diving into in-depth technical topics, while also solving real and strategic challenges. There's always something new to learn – both from the team, and by applying your own skills & knowledge to find ways where data & AI can truly create value.” – Phebe Langens, Data Scientist at Rewire
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.
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.
