Data Scientist, NSI

Systematic; København; Hybrid; DKK 700,000 - 900,000; Full time

Job summary

Systematic Copenhagen is seeking a Data Scientist to turn customer data into value within our NSI unit, operating in secured environments and collaborating with product and security teams. This newly established role offers the opportunity to help shape the function as it scales, with on-site work in Copenhagen and periodic travel to customer sites.

You will analyse data, train and refine ML models, and integrate data-driven features that deliver measurable value while maintaining a strong

Qualifications

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

Responsibilities

• 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.

Skills

Python

Machine learning

SQL

Data processing

Scikit-learn

PyTorch

TensorFlow

Danish and English

Education

Bachelor's or Master's in Data Science, CS, Math, Statistics or equivalent

Tools

scikit-learn

PyTorch

TensorFlow

Job description

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.

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.

We will be assessing applications on an ongoing basis as we wish to welcome our new colleague as soon as possible. If you have any questions, you are always welcome to contact us and ask for Kasper Bach Klokker, Associate Director, NSI Operations.

Get in touch

Talent Acquisition Partner

Location:

Copenhagen K, DK, 1358 Aarhus C, DK, 8000

Business Unit: National Security & Infrastructure