Data Scientist
SRT Marine Systems plc
full-time
Posted on:
Location Type: Hybrid
Location: Cardiff • 🇬🇧 United Kingdom
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
PandasPythonPyTorchScikit-LearnTensorflow
About the role
- Solve maritime based problems such as detection and classification for time series and image/video streams
- Develop and evaluate ML models for behaviour classification, anomaly detection, and track pattern recognition within geospatial data
- Research, prototype, extend, and optimise suitable vision and time-series models for these problems
- Collaborate with developers to integrate model outputs into user-facing GeoVS features
- Work with infrastructure and edge-based engineers within SRT to build scalable pipelines for ingesting, processing, annotating, and managing large volumes of maritime data (e.g. AIS and vessel video footage)
- Contribute to feature development in areas such as alert generation and visualisation, with future extensions including depth estimation within maritime environments
- Methodically apply best practices to document model performance, testing procedures, and experiment outcomes, while tracking datasets and model versions.
Requirements
- Strong theoretical and practical understanding of data science and machine learning
- Proficient Python programming with tools and libraries such as PyTorch, TensorFlow, scikit-learn, pandas, and OpenCV
- Solid grasp of dataset preparation methods and performance evaluation metrics (e.g. mAP, F1 etc.)
- Understanding of ML experiment and model tracking
- Experience with modern DevOps, version control, and software engineering practices in an agile framework
- Comfortable working in a small cross-functional technical team and communicating progress clearly.
Benefits
- Matched pension contributions up to 5%
- 25 days annual leave (rising to 28 with service)
- Private health care
- Flexible working opportunities
- Development and training programmes
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningdata sciencebehaviour classificationanomaly detectiontrack pattern recognitiondataset preparationperformance evaluation metricsmodel trackingalert generationdepth estimation
Soft skills
collaborationcommunicationproblem-solvingmethodical documentationcross-functional teamwork