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Systematic

Data Scientist, NSI

Systematic is hiring a Data Scientist, NSI. Level rates it ; you can apply on Systematic.

Level's read on this job

  • On Level's scale, this data scientist role is Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include PyTorch, TensorFlow and scikit-learn.
  • Level lists 42 other open roles at Systematic.
  • The role was posted within the past two weeks.

AI in this role

pytorchtensorflowscikit-learncursor

 

 

Data Scientist, NSI

 

 

Imagine working on Denmark's most critical systems, turning unique customer data into real value through applied machine learning. As our new Data Scientist, you will play a key role in analysing customer data and training models within our established product. Ready to make an impact?

 

The job
You will be responsible for generating value from customer data within our established product, which underpins national security and critical infrastructure domains. Our customers are classified and cannot be disclosed, so your work will take place in secure environments, often in collaboration with Product teams, security teams and onsite at customer locations. As this is a newly established position, you will have the opportunity to help shape this role as it grows.

 

In short, you can look forward to:

  • Analysing and preparing customer data for use in our established product
  • Training, evaluating and refining machine learning models on customer data
  • Integrating models and data-driven features that generate measurable value
  • Exploring customer data to identify new opportunities for value creation
  • Collaborating with security teams to ensure compliance with national classifications and profiles

 

Joining the team
You will join an organisation where you will be associated with multiple teams, part of our NSI business unit. We develop and maintain military-grade solutions that support a nation's most critical systems. The organisation is highly collaborative, organised around Products that make a difference.

 

If you are located in Aarhus, we are open to discussing a hybrid arrangement, but you should expect regular presence in Copenhagen (6–8 days per month).

 

Your qualifications
We are looking for a data scientist with hands-on experience applying machine learning to real-world data in production settings, who can work confidently in high-stakes, security-classified environments.

  • Relevant technical education, Bachelor's or Master's, in Data Science, Computer Science, Mathematics, Statistics or equivalent experience
  • Documented experience with applied machine learning on real-world data
  • Some hands-on experience with data science and machine learning in production settings
  • Strong knowledge of Python, machine learning frameworks (scikit-learn, PyTorch or TensorFlow), SQL and data processing tools
  • Fluent Danish and English skills
  • A strong security mindset and ability to work in high-stakes environments

 

Alongside this, we value:

  • A collaborative and proactive work style
  • Comfortable working independently and navigating ambiguity, particularly as this is a newly established role
  • Detail-oriented with strong problem-solving abilities
  • Comfortable working onsite at customer environments when needed

 

Expect travel activity to our HQ in Aarhus and to customer sites, primarily in Copenhagen.

 

Please note that you must be able to present a clean criminal record and have lived in a NATO and/or an EU country for the past seven years as we work with security-classified projects. Read more here.

 

Welcome to Systematic Copenhagen

When you join us in Copenhagen, you're not just getting a desk at one of the city's best locations - you are stepping into a workplace where community matters. Our Employees Club keeps things lively with monthly social events, and our office catering makes sure you are always well taken care of. Whether you are into casual games or just good company, you will find both at our foosball table or during our relaxed Friday bar gatherings.


Never stop developing

Systematic is uniquely people-centric, truly international and proudly rooted in Denmark with more than 1100 employees. Together, we write intelligent and innovative code to drive progress and improve lives. We develop IT solutions that make a real difference where it matters most. This is why we never stop developing. Here, there is room to be professional and personal. It is not just a place to work but a place to belong.

 

Start your development here

We will be assessing applications on an ongoing basis as we wish to welcome our new colleague as soon as possible, so click Apply Now and send us your CV today. If you have any questions, you are always welcome to contact us on tel. +45 8943 2000 and ask for Kasper Bach Klokker, Associate Director, NSI Operations.

Get in touch

Tobias Falck Jensen

Talent Acquisition Partner

How we rate this

Data Scientist, NSI at Systematic rates 16 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

PyTorchTensorFlowscikit-learnCursor

Also common in data scientist jobs at this level

Pay

Typical data scientist job
$167k

This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs

Questions you could be asked

  1. What's a project where you used PyTorch hands-on?
  2. Walk me through how you've used TensorFlow in your day-to-day work.
  3. What are the limits of scikit-learn that you've run into, and how did you work around them?
  4. What's a project where you used Cursor hands-on?

Adapt your resume

  • List these exact terms on your resume: PyTorch, TensorFlow, scikit-learn, and Cursor. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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