AI & Data Traineeship
Turning AI and data skills into a career.
AI and data are your thing. Now you want a career in it that goes somewhere.
AI can build almost anything these days. Knowing what’s worth building? That’s still up to you.
Sounds like a job for you?
Value doesn’t come from building more. It comes from building the right thing: something the business truly needs, people actually use, technology can support, and where AI and data are used responsibly.
That takes understanding what the business is truly struggling with, separating hype from impact, and deciding which problem is worth solving first. That bridge between technology, business and people is where the value sits now, and no agent is taking over.
Belgian companies are investing in AI and data, but many are still working out what to do with it. That’s where you come in.
Here’s how.
By doing the work, with the right people around you.
26 months, one contract with Ormit Talent. Two to three AI and data assignments at different client companies.
You don’t just sharpen your AI and data skills. You build the business sense and people skills that make them count, with training, coaching, expert mentoring and a group of peers behind you.
Why does that matter? Most data jobs make you better at the tech and leave the rest to chance. Here, you build all three. That’s why our clients hand you work they’d normally save for someone years further along.
Here is how it works
What you’ll actually work on.
Which assignment will you get? We can’t tell you yet. Each one comes with its own context, questions and level of AI and data maturity, and asks a bit more of you than the last. What stays the same is the mix: hard skills in AI and data, the business sense to know what’s really needed, and the people skills to get others on board.
In practice, that mix comes down to six areas. We saw them come back assignment after assignment at our clients. You will not meet all six in one assignment, and the exact tools depend on where you land. But across your assignments, your training and your mentor, you get hands-on with several and learn about all six.
01
Problem definition
Where every good project starts: turning vague requests into clear data questions. Which decision does it support? What does success look like, and is the data even there?
02
Data analysis
The hands-on part. You clean and test datasets, find the quality issues and the anomalies, and challenge the data someone else hands you. Often in SQL and Excel, sometimes Python where the question calls for it.
03
Insights creation
Where data turns into decisions. You build dashboards in Power BI or Tableau that someone actually decides with, not reports that describe what already happened. Plus the storytelling that gets them read.
04
Smart automation
Where the manual work disappears. You spot the tasks that keep coming back and get rid of them, with Power Automate, an API integration or an AI agent where it earns its place. And you judge a tool on what it delivers, not on how new it is.
05
Responsible AI and data use
Where trust gets built. You check for bias and data quality, explain what a model does and doesn’t do, know which rules you’re working under, and build together on clear data governance.
06
Translation to business and IT
Where it all lands. You explain the constraint to the business and the priority to the data engineers. And you set expectations before the work starts, not when the deadline moves.
What our trainees worked on
Data Analyst
Assignment – NN Insurance
My mission: make financial processes simpler and more efficient. So I automated the recurring tasks, like fund orders and data imports, and improved the payment process with Power Apps. Along the way, I became the go-to person for Excel integrations and automation, and my solutions started sparking interest beyond my own team.
The result? Less manual work, fewer errors, and smarter ways of working.
Data Scientist
Assignment – Bekaert
Bekaert was in the middle of a digital transformation, and I helped bring in SAS and a more agile way of working with data. I delivered analyses in sprints, worked with stakeholders to sharpen requirements, and learned to explain insights and model limitations clearly. I also built a SAS info corner to help the citizen data scientist community get started.
The result? More accessible data capabilities, smoother collaboration, and insights that support better decisions.
Data Strategist
Assignment – Telenet
I ran two data initiatives. The first got advisors using an AI-powered recommendation tool that was sitting idle: I gathered feedback, made it more usable, and trained people. The second improved the data quality behind a critical connectivity product, by defining how issues get spotted, prioritised and followed up, so technicians could keep working without interruptions.
The result? Wider adoption of the commercial AI tool, plus the foundation for a shared data-quality process.
Training
Your training runs on two tracks, and both count. On the technical side, you get room to go deeper: certifications, a platform subscription or dedicated time to master the tools your assignments ask for, with your technical mentor to challenge your approach.
On the business and people side, the core trainings are the same for everyone. It starts with discovering who you are. From there, you build towards working better with others, getting to the core of what a business needs, and bringing people along.
Then you put it to the test. In a hackathon and a real client case, you sit in the decision maker’s seat and weigh opportunities, risks and competing priorities, not just the data question. Experts watch and give you feedback on your approach.
“Let’s be honest: I signed for the hard skills. If the programme hadn’t been technical enough, I wouldn’t have signed at all. The training and coaching on human skills? A nice bonus, I thought. Looking back, that’s exactly what took me to the next level. I just didn’t know what I didn’t know.
Louis – Alumnus Data traineeship
Coaching & mentoring you
Most people only get a coach once they’re managing a team. You get one from day one.
Every month, you sit down with your Ormit Talent coach to talk about how it’s really going. They’ll challenge you, give you sharp feedback and practical advice, and ask the occasional question you’d rather not answer. That’s the point.
Together you work on how you show up: in a tough meeting, with a sceptical stakeholder, when a project shifts under your feet. Step by step; you widen your range, until the situations that used to feel uncomfortable become the ones you handle best.
Your coach helps you grow as a person. For the technical side, there’s Jens.
As the technical mentor of every AI & Data trainee, he knows the craft inside out. He challenges your tooling and your approach, and answers the questions a coach can’t.
At the start and again halfway, Jens joins you and your coach. Together you look at your growth on both the technical and the human side, and decide what to focus on next.
Peers
You’re not doing this alone. You’re part of a strong community of fellow trainees, as driven as you and going through the same thing. They share what works, challenge how you think, and make coming to the Ormit Talent office worth it. Your trainings happen as a group, and the connections you build there tend to outlast the traineeship itself.
It's the right fit if...
- A bachelor's or master's in data science, analytics, applied statistics, applied informatics, or business economics with a data focus. Different degree? Then you bring clear experience in one of these fields.
- You've already used it in practice, in an internship, a student job or a first job.
- English, plus Dutch or French. The second of those two is a bonus. The drive to learn it is a must.
- At least two of Python, SQL and Power BI. Whether you're strongest at building models or at turning them into something a business acts on, we want to see both hands in the data.
- AI affinity. You know your way around AI beyond the chat window, use it to work smarter, and know when not to trust it.
What you’ll get
By now the big stuff should be clear: two years of coaching and training from Ormit Talent,… And yes, all of it paid for.
- From €2.500 gross monthly salary, more if you bring experience. Holiday pay and 13th month on top. And after a year, a higher salary or extra vacation days.
- A €475/month mobility budget. Plus, an office close to public transport. No traffic frustrations in this job.
- €25K worth of coaching and training from Ormit Talent. Yes, that’s the value of what we put in. Not what you pay.
- €100 net allowance for your work-from-home days.
- A mobile phone and subscription.
- A €200 wellbeing budget per traineeship. Spend it on therapy, a yoga membership, or whatever keeps you sane.
- A €465 language budget for Dutch or French lessons. Belgium being Belgium.
- The other essentials: meal vouchers, eco vouchers, hospitalisation insurance, pension savings.
And after the two years? You’ll be ready to step into NN as a full-on transformation agent: someone who knows the organisation, drives change with confidence, and had the network to make it happen. From there, new opportunities open up across NN.
Just ask Flor, who’s now team lead in the finance team.
How we select
Same process as all our traineeships: your CV and motivation, a few tests, an AI & data case and an assessment day. No surprises, and feedback along the way.
Ready to build the right thing?
You’ve read this far, so it’s probably a yes. Let’s go.
