For professionals
Work you learn from, at organisations you would not otherwise get into.
New Data connects students, graduates and experienced data professionals to assignments where their work is genuinely used. You are not on your own: New Data supports you during the assignment as well.
Who this is for
Student or graduate
You study data, computer science or econometrics, or you have just graduated. Through New Data Student you work on real assignments, flexibly alongside your studies and with no minimum hours.
Experienced professional
You are an analyst, engineer, scientist, BI or AI specialist looking for a next step. Through New Data Search we look for the place that fits, not the vacancy that happens to be open.
Senior or independent expert
You work on complex data and AI questions and want substance, not an hours factory. Through New Data Squad you join a team that leaves knowledge behind with the client.
What you can expect from us
- Support during the assignment, not only at the start
- Work that gets used, not an observer's placement
- Access to the network: knowledge sessions, events and alumni
- Agreements on hours and rate on paper beforehand
- With contracting through DetaVast: your client can take you on at no cost, from 1,200 hours worked, roughly seven months full time
What you earn
Amounts are gross per hour, including holiday pay and the reservation for holiday days.
| Who | Gross per hour |
|---|---|
| Student, first year with usincluding holiday pay and the reservation for holiday days | € 22,12 |
| Starter, first year with ussame build-up as above | € 23,39 |
| Student, from the second year with usmoves to the starter level | € 23,39 |
| Medior and seniordepending on experience, role and assignment | in overleg |
Why it says from
These are our base amounts. What you actually earn on an assignment follows the remuneration scheme of the organisation you work at. That is set out in law, and it works in your favour: if their collective agreement runs higher, so does your hourly pay.
You always hear beforehand what you get on a specific assignment. Never afterwards, and never different from what was agreed.
These amounts apply to contracting. With recruitment you join the client as an employee, and they set the salary.
What the client pays per hour is not what you earn, and that is not a trick. On top of your bare gross hourly wage comes almost the same amount again before we have earned anything at all: employer contributions, pension, holiday days, holiday pay, continued pay during illness and insurance. Together that is close to a factor of two. Not one euro of our margin sits in it. What we earn is whatever is left after that, and we are not secretive about it.
True or false?
We were back at the Dutch national econometrics day in 2026. We put four statements about data, AI and work to students and to our own team. The answers varied more than we expected. Spoken in Dutch, with subtitles in the picture. They only start when you click.
AI means you no longer need data expertise.
0:31
What is said in the film
Several visitors respond one after another; their names are not shown. The film is in Dutch and the subtitles are burnt into the image; below is that same text.
Door AI heb je geen dataexpertise meer nodig.
“Nee, ben ik het niet mee eens.”
“Niet waar. AI is niet iets wat je zomaar toe kan passen en dat het zichzelf kan besturen. Ik denk dat je nog steeds moet weten dat wat er uit bijvoorbeeld een AI zou komen als je hem toepast, of het correct is of niet.”
“Als jij niet meer kan verantwoorden wat AI jou uitlegt, waar is je geloofwaardigheid dan?”
“Het kan je misschien wat fout is vertellen, maar als je niet weet waar om het gaat, dan kan je gewoon AI niet gebruiken.”
“Je hebt altijd nog mensen nodig om dat te gebruiken?”
As an econometrician you can find work anywhere.
0:30
What is said in the film
Several visitors respond one after another; their names are not shown. The film is in Dutch and the subtitles are burnt into the image; below is that same text.
Als econometrist kun je overal aan de bak.
“Het gaat wel lastiger worden met de komst van AI, omdat één persoon nu meer werk kan doen. Ik denk dat daarin het aanbod wel krapper kan gaan worden, eventueel.”
“Ik denk op heel veel plekken, omdat je gewoon een hele abstracte manier van denken hebt. Je analytische mindset blijft natuurlijk altijd overal gewild, en je doorzettingsvermogen.”
“Ik denk dat het ook heel erg afhankelijk is van je eigen interesses en welke vakken je in het algemeen hebt gevolgd.”
“Je hebt wel heel veel mogelijkheden, maar natuurlijk is er ook heel veel competitie.”
Juniors need a great deal of guidance.
0:31
What is said in the film
Several visitors respond one after another; their names are not shown. The film is in Dutch and the subtitles are burnt into the image; below is that same text.
Als junior heb je heel veel begeleiding nodig.
“Ik denk van niet.”
“Ja, het ligt heel erg aan het werk wat je doet. Als je iemand verantwoordelijkheid geeft, dan leert hij sneller dan als je iemand de hele tijd zijn handje vasthoudt.”
“Ik zou niet zeggen dat jij de expert bent, maar je hebt wel een goede invloed.”
“Ik vind een beetje onafhankelijk werken wel leuk. Het is ook belangrijk dat je gewoon af en toe in diepe gegooid wordt.”
“Tuurlijk moet je af en toe aan de bel trekken, maar niet constant begeleid.”
“Op het moment dat je gewoon grote onderzoeken doet met groot belang, hoop ik dat die ondersteuning er wel is.”
Companies that do nothing with data fall behind.
0:32
What is said in the film
Several visitors respond one after another; their names are not shown. The film is in Dutch and the subtitles are burnt into the image; below is that same text.
Bedrijven die niets met data doen, lopen achter.
“Ja, ben ik het mee eens. Ik denk dat data ontzettend behulpzaam is in zien of je goed bezig bent, of dat je verbeteringen door kan voeren.”
“Er is zoveel data, waarom zou je er geen gebruik van maken? Als je daardoor geïnformeerde beslissingen kan nemen.”
“Ik denk dat de meeste bedrijven echt wel op basis van hun data effectievere keuzes kunnen maken en efficiëntie kunnen verhogen.”
“Je kunt data altijd gebruiken, dus het is altijd nog steeds belangrijk.”
“Als er een kans voor jou ligt op het gebied van data, en je pakt die niet, dan loop je wel een beetje achter.”
New Data at the Dutch national econometrics day 2026
0:27
What is said in the film
Several visitors respond one after another; their names are not shown. The film is in Dutch and the subtitles are burnt into the image; below is that same text.
New Data op de Landelijke Econometristendag 2026
“DataStudent was erbij. En studenten van de toekomst? Zeker ook!”
“DataStudent was niet te missen. Geweldige merchandise, stickers overal.”
“En waarom we hier staan? Luc, waarom staan jullie hier vandaag?”
“Wij staan hier om nieuw talent te werven, die op zoek is naar een relevante bijbaan of de eerste stap wil zetten in z'n carrière.”
“Hebben we al wat gevonden? We hebben al leuke mensen gesproken.”
“De toekomst zit vol talent. Studenten met ideeën, energie en nieuwsgierigheid. DataStudent die is er klaar voor!”
The roles we work on
Not quite recognising yourself here? Apply anyway. The role is a starting point, not a filter.
Data analyst
A data analyst who gets from insight to decision.
A data analyst turns raw numbers into answers somebody can act on. Strong analysts ask the question behind the question before they start.
Data engineer
A data engineer who builds pipelines that hold.
The data engineer builds the foundation: pipelines, platforms and integrations every other role leans on. Without this role, every dashboard stays manual work.
Data scientist
A data scientist who gets past the pilot.
Models and predictions are the easy part. A good data scientist thinks from day one about how the model will be maintained and explained.
BI specialist
A BI specialist whose dashboards actually get used.
The BI specialist builds, maintains and analyses management information. The difference between a good and an average one is what they leave out, not what they add.
AI specialist
An AI specialist who brings machine learning and GenAI to the floor.
The AI specialist moves between research and delivery: what is possible, what is permitted, and what it returns once it runs.
Developer
A developer who makes ideas actually work.
Our developers make sure ideas actually work in practice. They build, maintain and improve software that supports, automates and connects processes.
How you start
Create a profile
You create a profile in the New Data portal. It takes a few minutes and commits you to nothing.
Introduction
We talk about what you can do and where you want to go. Only then do we look at which assignments fit.
Get to work
You start at a client, with a fixed point of contact at New Data behind you. If something gets stuck, you call us, not the client.