Responsibilities
- Lead data and AI initiatives by analyzing data, building models, and delivering actionable insights for business impact.
- Utilize advanced machine learning methods to address complex, real-world challenges with innovative solutions.
- Design algorithmic solutions, take ownership of work, and enhance high-impact business processes.
- Support organizational transformation by implementing data and AI innovations through a certified training portfolio.
- Combine technical skills and communication to develop scalable data and AI solutions that deliver value across the organization.
- Work with cross-functional teams, contributing from the start while learning from experienced leaders.
Benefits
- Participate in transformative change as the business scales in a fast-evolving industry with a global growth strategy, expert team, and investor support.
- Take on a role where you contribute ideas, foster innovation, and influence how organizations use data and AI for real impact.
- Enhance data and AI skills through exposure to diverse industries, real-world challenges, hands-on projects, and expert mentorship in a future-focused setting.
- Join a vibrant, multidisciplinary team that is ambitious, collaborative, and enjoys a balance of learning and fun.
- Collaborate with clients as a valued team member, building trust-based relationships and engaging in face-to-face collaboration when needed.
- Thrive in a culture that values autonomy, curiosity, and bold thinking, where your ideas are implemented and your impact is recognized and rewarded.
Work Arrangement
Hybrid — Heidelberg, Germany, Netherlands, Europe
What makes you shine
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: A Master’s degree with excellent results in a quantitative or STEM field (e.g., Data Science, Statistics, Computer Science, Mathematics, Physics) Practical experience through internships, projects, or research – demonstrating your ability to work with data, build models, and extract actionable insights A hands-on, growth mindset – you take ownership of your tasks, embrace challenges, and contribute to solutions that create real value Strong communication skills and a collaborative spirit – you enjoy working in teams, explaining technical concepts clearly, and supporting a positive, inclusive work environment Sharp analytical and technical skills – you excel at both problem-solving and implementing solutions that bridge business and technology Fluency in both English and German (written and spoken), and willingness to travel regularly to client sites 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 you’ll work
Many projects require working onsite at client locations throughout Germany (and occasionally Europe) for several days per week. Travel requirements vary depending on the project and client needs. While our main office is located in Heidelberg, many of our team members are based across various cities in Germany. This reflects our flexible and distributed team structure, which means that relocation is not required. At the same time, as we continue to grow our Heidelberg office, being located within reasonable travel distance is an advantage and helps facilitate collaboration.
In their own words
“At Rewire, I have the opportunity to learn how to translate my theoretical knowledge into impactful applications across multiple industries and purposes. It is always exciting to engage in stimulating conversations with my colleagues and gain exposure to different analytical perspectives on how to tackle the same problem!” – Alex Lucchini, Data Scientist at Rewire
Other
- Language requirements: Fluency in both English and German (written and spoken)
- Travel: Willingness to travel regularly to client sites; many projects require working onsite at client locations throughout Germany (and occasionally Europe) for several days per week
- Relocation: Relocation is not required; being located within reasonable travel distance to Heidelberg is an advantage
- Office: Main office in Heidelberg; distributed team structure across various cities in Germany
