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Haskoning is seeking a Junior Data Scientist to accelerate AI adoption across our Supply Chain & Logistics advisory group. You will work at the intersection of data science, optimization, software development, and AI innovation to deliver practical solutions for clients and internal tools.
You will collaborate with multidisciplinary teams, prototype AI-enabled features, and contribute to projects that span planning, optimization, and warehouse analyses.
Are you passionate about Artificial Intelligence and eager to turn emerging technologies into practical business solutions? Do you enjoy building innovative tools while also helping others understand and adopt new technologies? At Haskoning, we are looking for a Junior Data Scientist who combines strong analytical skills with a genuine interest in AI and Large Language Models (LLMs).
In this role, you will help accelerate AI adoption within our Supply Chain & Logistics advisory group, contribute to innovative client projects, and develop internal tools that improve the way we work. You will work at the intersection of data science, optimization, software development, and AI innovation.
Whether you're exploring the latest AI trends, developing prototypes, or supporting optimization projects for our clients, you will have the opportunity to make a tangible impact from day one.
As a Junior Data Scientist, you support the team in identifying, developing, and implementing AI-driven solutions that create value both internally and for our clients.
At Haskoning, you will join an independent, employee‑owned international consultancy that combines engineering, design, and consultancy services with software and technology. Our mission, "Enhancing Society Together", drives us to create a positive impact on the world.
We offer purpose‑driven and challenging work in diverse international projects, leveraging our 140+ years of expertise. With over 6,800 employees in more than 25 countries, we work together to turn challenges into opportunities and make a real impact on society. We collaborate with leading clients in markets such as infrastructure, climate resilience, renewable energy, decarbonisation of industry, and sustainable mobility.
As our new Junior Data Scientist, you will become part of Haskoning's Supply Chain & Logistics team, a multidisciplinary group of consultants, data scientists, and optimization specialists who help clients make smarter decisions through data and technology.
Our team works on complex challenges across industries, combining advanced analytics, operations research, software development, and domain expertise. At the same time, we are actively exploring how AI and LLM technologies can further enhance our services and transform the way we work.
You will collaborate closely with colleagues across advisory groups, AI initiatives, and digital teams, giving you exposure to a broad range of expertise and innovative projects.
We offer a collaborative and entrepreneurial environment where curiosity, continuous learning, and innovation are encouraged.
You are an enthusiastic early‑career professional who enjoys both building solutions and explaining them to others. You are curious about new technologies and motivated to translate innovative ideas into practical applications.
It is a plus if you have experience with Azure cloud services; LLM frameworks such as LangChain, Semantic Kernel, or similar technologies; Git and software development best practices; supply chain and logistics analytics; mathematical optimization or operations research techniques; and facilitating workshops or delivering training sessions.
At Haskoning we offer a great working atmosphere in which organizational and personal development take central stage. Our assessment and rewarding process will always be based on your personal competences. We offer you a wide range of projects in which you can participate and gain experience. You will learn from working with experienced consultants and get a glimpse of the various areas of expertise we have on offer. Learn and experience in order to map out your own career path.