Data Scientist, Secure Systems — ML for National Infra

Systematic; København; Hybrid; DKK 600,000 - 800,000; Full time

Benefits offered by this job

Hybrid work arrangement

Office social events

Catering at the office

Foosball table

Friday bar gatherings

Job summary

Systematic Copenhagen is seeking a Data Scientist for the NSI unit to generate value from customer data through applied machine learning within our secure environments. You will train and refine models, integrate data-driven features, and collaborate with product and security teams while often operating onsite at customer locations.

Located in Denmark, the role supports national security and critical infrastructure domains, with a hybrid arrangement possible (regular presence in Copenhagen, and

Qualifications

• Relevant technical education in Data Science, CS, math or statistics.
• Applied machine learning on real-world data in production settings.
• Hands-on experience with data science and machine learning in production environments.
• Strong knowledge of Python, ML 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.

Responsibilities

• Analyse and prepare customer data for use in our established product.
• Train, evaluate and refine machine learning models on customer data.
• Integrate models and data-driven features that generate measurable value.
• Explore customer data to identify new opportunities for value creation.
• Collaborate with security teams to ensure compliance with national classifications and profiles.

Skills

Python

scikit-learn

PyTorch

TensorFlow

SQL

Data processing tools

Danish

English

Security mindset

Team collaboration

Education

Bachelor's or Master's in Data Science / CS / Math / Statistics

Tools

Docker

Git

Job description

Systematic Copenhagen is seeking a Data Scientist for the NSI unit to generate value from customer data through applied machine learning within our secure environments. You will train and refine models, integrate data-driven features, and collaborate with product and security teams while often operating onsite at customer locations.

Located in Denmark, the role supports national security and critical infrastructure domains, with a hybrid arrangement possible (regular presence in Copenhagen, and