InspectOS is taking a data science and engineering intern into its Lisbon office on site, four months from 1 October 2026, with applications closing on 30 September 2026. At Youth Works Hub, we read the listing and the company's careers page together so you can judge whether the work is real ownership or support tickets.
The listing answers that question itself: this is not a support role, you own a workstream and help design it.
The Product You Would Work On
InspectOS is an early stage PropTech product: a home inspection platform built for structured, evidence backed inspections. The company sends licensed engineers to inspect Portuguese homes before purchase and delivers bilingual reports within 48 hours.
ποΈ Coverage runs across all 308 Portuguese municipalities.
π Inspections cover structural, gas, energy, moisture and seismic issues.
π Every inspection produces structured evidence, which is exactly what makes the data work possible.
What You Would Actually Build
The raw material is messy real data: inspection reports, listings, CRM records and web analytics.
ποΈ Bringing data from many sources into one place and documenting it.
π Finding patterns in pricing, time on market and lead conversion.
π Building dashboards the team actually relies on.
π€ Building first versions of models for things like lead scoring or price prediction.
π Turning text such as reports and listings into structured, usable data.
π Adding location based features.
β° Setting up scheduled jobs and data quality checks.
π£οΈ Explaining results clearly to non technical teammates.
Engineering or Science, Both Have a Lane
βοΈ If you lean towards engineering, the lane is pipelines and data flow.
π¬ If you lean towards science, the lane is analysis and modelling.
π§° The named tools are Python, SQL and pandas.
What the Team Expects From You
π» Solid programming and data skills.
π Comfort querying databases.
π At least one project you can show and explain, which matters more here than a long CV.
βοΈ Strong written English.
π§ Organised, reliable and ready for real responsibility.
Terms and Level
β³ Four months, full time at 40 hours a week.
π’ On site at the Lisbon office, not remote.
πΈ Unpaid, run under the Erasmus+ traineeship framework, so the funding is your own mobility grant.
π Open at bachelor's, master's and doctorate level.
Visa and Documentation
π The listing states that the company hosts international candidates and provides administrative and financial support, assisting with local immigration filings or covering permit fees.
π That is a stronger commitment than the usual "we can host international candidates" line, and it is written into the listing itself.
According to Youth Works Hub's review of this listing, covering permit fees is rare in unpaid internships and is the single detail that makes this one accessible to candidates from outside the EU.
The Intern Crew
π₯ You join a tight intern group working on site alongside interns in marketing, product, development and data roles, most of them international.
π The company describes short feedback loops with founders and decision makers, and brainstorming sessions where interns think from first principles.
π Outside work the listing mentions beach days, padel and weekend trips to Sintra.
How to Apply
Applications go by email with your CV. The company's careers page asks candidates to state which department they are applying to and why, so lead with data and with the project you can show and explain. A repository link with a readable README does more work here than a paragraph of adjectives.
Frequently Asked Questions
Is the internship paid?
No. It is unpaid and runs on an Erasmus+ mobility grant, but the company assists with immigration filings or covers permit fees.
Can I do it remotely?
No. The role is on site at the Lisbon office.
Which tools do I need?
Python, SQL and pandas are the named tools, alongside comfort querying databases.
Do I need published research or work experience?
No. The listing asks for at least one project you can show and explain.
Is it engineering or data science?
Both lanes exist. Engineering means pipelines and data flow, science means analysis and modelling.
How long is it?
Four months, full time at 40 hours a week, starting 1 October 2026.
Deadline
β³ 30 September 2026
The start follows immediately after the closing date, so applications are reviewed as they come in. Find more opportunities like this, explained in plain language, on Youth Works Hub.
Link
π Careers page: https://www.inspectos.pt/en/careers
π§ Applications and CV: hr@inspectos.pt







