Junior Consultant Data & Digitalisation

Curious about what you can do with data, AI and digitalisation in technical companies? And do you want to do more than understand how a process runs, and also build something that makes it visible?

Learning by doing Experienced colleagues who review your work A reply within 24 hours on working days

As Junior Consultant Data & Digitalisation you help manufacturing companies work smarter. You dig into processes, talk to employees, bring information needs to the surface and, together with your colleagues, translate them into practical digital solutions.

You work on a range of projects at companies in the manufacturing industry. Along the way you learn to pick up more and more parts of a project on your own.

You do not need to be able to do everything yet. We are looking for someone at the start of their career who learns fast, shows initiative and wants to develop at the intersection of consultancy, processes and technology.

For example, you will:

• Talk to customers to understand processes and bottlenecks
  .
• Collect data from different systems and make it visible.
• Find out which information the customer is missing, and how to make it visible.
• Develop dashboards, applications and other digital solutions.
• Work with tools including Power BI, Microsoft Fabric, SQL and Python
  .
• Explore and apply new possibilities with AI.
• Implement solutions and bring users along in the new way of working.
• Take on more and more responsibility for your own customers and projects.

So you are not only analysing. You help build the solution yourself: something that shows the customer what is happening, so they can make better decisions themselves. It is their factory, you deliver the insight.

We build AI-first. AI writes the first version, you decide whether it is good enough. You read the code, test it and adjust it. AI is a tool, not a colleague you take at their word.

That means you build real solutions here faster than you are used to. And we look less at the number of years on your CV.

You are not on your own. Experienced colleagues review your work and there are technical guidelines to fall back on.

New tools follow one another quickly. You have to enjoy that pace. You also get the room to propose yourself what we try next.

No six-month induction before you are allowed to do anything. But always someone beside you who has done it before.

Month 1

Months 4 – 6

You lead customer conversations and present your own solution. Meanwhile you work on your first Microsoft certification.

Months 7 – 12

A customer or project of your own from start to finish, with colleagues to fall back on. From here you decide what you want to specialise in.

Examples from the work we do for companies in the manufacturing and process industries. At first one part of them, later the whole project.

Reading machine data, recording downtime reasons and mapping OEE per shift. You build the report and come along when it is delivered.

Efficiency

Reading machine data, recording downtime reasons and mapping OEE per shift. You build the report and come along when it is delivered.

Collecting metering data, linking it to production and turning it into a picture management can steer on. Also input for the Dutch energy-saving obligation.

Energy

Collecting metering data, linking it to production and turning it into a picture management can steer on. Also input for the Dutch energy-saving obligation.

An app with which the floor records checks or batch data. You test it with the people who will use it and adapt it to their feedback.

Process

An app with which the floor records checks or batch data. You test it with the people who will use it and adapt it to their feedback.

A customer question that AI might solve. A project like that often starts with someone who tries something with standard AI tools and shows what it delivers. If a custom model is needed, our AI & Machine Learning Engineer picks that up.

Not yet at home in Power BI, Fabric or Python? No problem. You learn that here, during working hours and on real customer questions.

• Microsoft Fabric
• Power BI
• SQL
• Python
• React