At Creax, we believe real innovation happens where science and creativity come together.
That’s why we build project teams around a carefully curated mix of complementary competencies—bringing together experts in science, data analysis, technology, product and process design, and more.

As part of this mix of talents, we’re looking for a Science & Innovation Consultant who has a strong scientific background and a curious mindset, eager to explore ideas beyond one field or industry. You will you will actively engage with client R&D teams through regular progress updates and strategic consultation for:

• Technological research (technology mapping, landscaping, trend analysis, foresight …)
• Providing insights to develop new products & technologies
• Solving technological problems in production processes
• Identification of new applications and markets for existing technologies
• Interacting with client’s R&D stakeholders: interfacing on progress and consulting

As  Science & Innovation Consultant, you will contribute to a wide range of innovation projects by conducting technological research, generating insights, resolving technical challenges and identifying novel applications for existing products and technologies.

• Experience: 2-3 years of experience, or a talented and persuasive starter
• Education: Scientific master’s degree or PhD
• Languages: Fluent in English (oral and written); German, French or Dutch is a plus
• Analytic mindset, eager to dive into new topics, capable of performing high-level as well as in-depth research
• Excellent communication & presentation skills. You enjoy a good discussion with renowned experts and confidently defend your insights
• A team player, but we like those strong-minded characters too
• Location: You will be based in our offices in Kortrijk, Belgium, and will travel across Western Europe on regular occasions.

Bonus Qualifications
Experience or a strong interest in data science is a valuable asset. This could include:

• Developing and optimizing tools for large-scale data analysis, including those leveraging LLMs
• Keeping up with advancements in commercial data analysis platforms and AI-driven technologies
• Programming and data analysis, particularly in Python