Data Scientist – National Security ML (Hybrid)

Systematic; København; Hybrid; DKK 700,000 - 1,100,000; Full time

Benefits offered by this job

Hybrid work arrangement

Travel to client sites

Job summary

Systematic Copenhagen is seeking a Data Scientist to turn customer data into value through applied machine learning within our NSI product. You will analyse data, train models, and deploy features in secure environments, often onsite at customer locations.

Based in Copenhagen with a hybrid arrangement (regular presence 6–8 days per month), you will collaborate with Product and Security teams and travel to Aarhus and customer sites as needed.

Qualifications

• Hands-on experience applying ML to real-world data
• Production ML experience in secure environments
• Strong Python and ML frameworks knowledge
• Ability to work with security teams and product teams

Responsibilities

• Analyse customer data and train models within our product
• Evaluate and refine ML models on production data
• Integrate models and data-driven features to create value
• Explore data to identify new opportunities
• Collaborate with security teams to ensure compliance

Skills

Python

ML in production

SQL

English & Danish

Security mindset

Education

Bachelor's or Master's in data science, CS, math, statistics

Tools

scikit-learn

PyTorch

TensorFlow

Prod ML environments

Job description

Systematic Copenhagen is seeking a Data Scientist to turn customer data into value through applied machine learning within our NSI product. You will analyse data, train models, and deploy features in secure environments, often onsite at customer locations.

Based in Copenhagen with a hybrid arrangement (regular presence 6–8 days per month), you will collaborate with Product and Security teams and travel to Aarhus and customer sites as needed.