Data Scientist
Core
Build detection capability from messy real-world sensor and signals data (electronic intelligence, maritime vessel-tracking) to tell operators what matters.
Role type
Applied data scientist (detection & modelling)
Builds
Detection pipelines and models/rules for defence and national security applications
Domain
Defence, national security, AI, robotics, maritime, signals intelligence
Deliverable
production ML models | product features
Required skills
anomaly detection, time-series analysis, geospatial analysis, deterministic rules, statistical tests, heuristics, Python, NumPy, pandas, scikit-learn, TensorFlow, PyTorch, Git, containerisation, model serving, data fusion
Preferred skills
Rust, edge compute, embedded deployment, physics/math/engineering background
Technologies
Python, NumPy, pandas, scikit-learn, TensorFlow, PyTorch, Git, KServe, ArcGIS, ESRI, Palantir
Responsibilities
Build detection capability on real hard data with gaps and errors; engineer features and signals for detection; define quality metrics and control drift; own pipelines from idea to production; evaluate end-to-end including holdout design and threshold calibration; translate between data techniques and operational mission
Seniority
Mid-level IC with path to senior/staff leadership
