Base sector
Private Sector
The private sector covers privately owned companies across non-financial industries. This includes retailers, energy companies, logistics firms, technology platforms, manufacturers, and telecom providers. It is the largest part of the economy by number of employers and job opportunities.
In this sector, you use data to help the organisation run more efficiently or grow its revenue. That might mean forecasting demand, optimising a logistics process, or analysing how customers use a product.
Private companies exist to generate revenue and profit. That goal shapes how quantitative work is used: the focus is on making better decisions that reduce costs, increase revenue, or improve operations. The specific questions vary by industry, but the underlying need for data analysis, forecasting, and modelling is present across all of them.
The daily work varies significantly between subsectors. A data scientist at a retailer works on demand forecasting and pricing. An operations analyst at a logistics company works on route optimisation and capacity planning. A data engineer at a tech platform builds the infrastructure that keeps data flowing. The same role title can mean very different things depending on the industry and the size of the company.
Company size matters a lot in the private sector. At large companies, roles are more specialised and structured. Teams are bigger, processes are more formal, and career paths are clearer. At smaller companies and startups, roles are broader and the work is less defined. You often work closer to the product and have more direct impact, but with less support and more uncertainty.
The shared tools across the private sector are Python and SQL for data work, Excel for reporting, and BI tools like Power BI or Tableau for dashboards. The specific domain knowledge required depends on the subsector. What transfers across all of them is the ability to work with data, structure a problem, and communicate results to non-technical colleagues.
Subsectors
Private Sector divides into 8 distinct areas, each with its own focus and character.
Companies
A selection of organisations active in this sector where graduates typically find roles.
Metyis · Amsterdam
Metyis is a global firm delivering AI & Data, Digital Commerce, and Global Business Solutions, as well as Advisory Services, to drive long-lasting impact for its business partners and clients.
4Supplychain · Amersfoort
4Supplychain is een toonaangevend advies-, project- en interim-managementbureau gespecialiseerd in supply chain management.
Infor · Barneveld
Discover Infor – where technology meets real-world impact.
TKH AI Technology · Amsterdam
TKH AI Technology is the AI hub of TKH Group, which specialises in automation technology, high-end vision systems and advanced automation machinery.
MarketResponse · Utrecht
Our company is all about understanding the customer/citizen/employee. In a strong combination of using company data, open data and classical surveys we want to discover what is really going on and…
Deloitte · Amsterdam
At Deloitte, it’s all about people, each of whom has something unique to offer. We work closely with our clients and make great things happen. In doing so, we create real change.
Lynxx · Amersfoort
Wij zijn een high-tech data science club die organisaties helpt om échte waarde uit hun data te halen.
Argon & Co · Utrecht
Een hecht consultancybureau dat werkt voor toonaangevende klanten als Schiphol, bol.com en NS.
Berenschot · Utrecht
Berenschot is een onafhankelijk Nederlands organisatieadviesbureau dat al meer dan 85 jaar werkt aan complexe maatschappelijke vraagstukken, van zorg en openbaar bestuur tot energietransitie en…
Picnic · Amsterdam
At Picnic, we’re a team of inventors, builders, dreamers, and best-in-class operators! With our app-only business model and custom-built in-house supply chain, we're revolutionizing the way people…
Note: this list is an approximation. An organisation's actual work, roles, and terminology can differ from the categories shown here.