Production ML Data Scientist for National Security (Hybrid)

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

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