Data Scientist - Maritime Technology
SKILLS
FULL DESCRIPTION
[Employer hidden — sign up to reveal] Global is seeking a Data Scientist - Maritime Technology to join their team in London (Hybrid). This full-time, mid-senior level role offers a yearly salary of £85,000 - £105,000.
About the Company
[Employer hidden — sign up to reveal] Global is the leader in maritime intelligence, protecting clients’ business interests and assets through high-performance, cyber-secure solutions. Offices in London, USA, Singapore, Hong Kong and Panama.
The Opportunity
As a Data Scientist, you will build advanced analytical, machine learning, and agentic AI solutions that power [Employer hidden — sign up to reveal]’s maritime intelligence products. You will work with rich time-series and geospatial datasets (AIS, RF, weather/ocean models) and contribute to the AI/ML roadmap.
Responsibilities
- Collaborate on [Employer hidden — sign up to reveal]’s AI/ML roadmap and strategy.
- Develop and deploy ML and agentic AI use cases on maritime datasets.
- Perform feature engineering and model experimentation using Python and Spark.
- Work with Data Engineers to productionise models in AWS.
- Support design and validation of data quality and reconciliation logic.
- Validate, monitor, and improve model performance.
- Analyse and explain AI/ML solutions to stakeholders.
- Document models and experiments.
- Support analytics and BI teams with advanced modelling.
Required Skills
- 4+ years Data Scientist experience, ideally in maritime or geospatial domains.
- Strong Python programming skills.
- Strong SQL skills.
- Experience with scikit-learn, TensorFlow/PyTorch, pandas, NumPy, SciPy.
- Experience with time-series and/or geospatial data.
- Experience in AWS environments (S3, Glue, EMR/Databricks, SageMaker).
- Notebook-driven development and Git workflows.
- Solid foundation in statistics and ML evaluation.
- Strong communication skills.
Additional Skills (Nice to Have)
- LLMs, NLP, agentic AI (Hugging Face).
- Spark/PySpark.
- BI platforms (QuickSight, Tableau).
- ML/AI Ops practices.
- Maritime intelligence, AIS, RF, NWP data.
- Real-time analytics platforms.
- Additional languages (Scala, R, Java, C++).
Education & Certifications
Bachelor’s in Computer Science, Statistics, Mathematics or related; or Master’s in Data Science, AI. Cloud certifications (AWS preferred) are an advantage.
Benefits
- Hybrid/Flexible working
- Private healthcare, Dental, Optical
- Salary sacrifice schemes, Gym and wellness
- Childcare vouchers, Buy/Sell holidays
- Cycle to work scheme, Medicash health plan
- Home and tech scheme
- Life insurance (3x salary)
- Employee assistance program
- 25 days annual leave, 5 wellbeing days
- Volunteering leave (2 days/year)
- 5% matching pension
- Unlimited learning and development
- Refer-a-friend recruitment bonus
Location & Salary
Department: Data, Location: [Employer hidden — sign up to reveal] UK (Hybrid), Salary: £85,000 - £105,000 per year.