Machine Learning Scientist – Bayesian Modelling | Germany

Machine Learning Scientist – Bayesian Modelling
Location: Hamburg or Lübeck, Germany
Working Pattern: Full-time | Relocation Support Available
Industry: Maritime Technology / Data & Analytics
 
Spinnaker is supporting a leading international shipping organisation in the appointment of a Machine Learning Scientist to join its growing Data & Analytics function.
 
This is an opportunity to apply advanced statistical and Bayesian modelling to real-world commercial challenges, developing models that forecast global markets, commodity flows and operational performance.
 
We’re looking for a scientific modeller first, rather than a traditional Software Engineer. You’ll bring deep statistical expertise, strong Python skills and the ability to turn complex business problems into practical, reliable modelling solutions.
 
The Role:

• Design, develop and deploy Bayesian statistical and machine learning models.
• Translate complex commercial problems into robust modelling approaches.
• Research new methodologies, validate models and improve forecasting accuracy.
• Review models and code, challenge assumptions and mentor colleagues.
• Act as a technical sparring partner to the Team Lead, strengthening modelling quality.
• Communicate complex findings and uncertainty clearly to non-technical stakeholders.

 
What We’re Looking For:

• Strong background in Bayesian inference, probabilistic modelling and statistical ML, including MCMC, hierarchical models or variational inference.
• Advanced Python, including NumPy, pandas, SciPy, scikit-learn and/or PyTorch.
• Several years of hands-on statistical modelling or applied research experience, ideally 5+ years.
• Degree in Physics, Mathematics, Computer Science or a related quantitative discipline; PhD or postdoctoral research highly desirable.
• Experience developing models end-to-end, ideally through to production.
• Strong analytical thinking, communication and technical leadership capabilities.

 
Highly Desirable: PyMC, NumPyro, Stan, Gaussian Processes, probabilistic time-series forecasting, MLOps, Databricks, Docker or MLflow.
 
Experience in shipping, commodities, energy or financial markets would be advantageous, but maritime experience is not required.
 
Interested?
If you’re a Research Scientist, Machine Learning Scientist or Data Scientist with genuine depth in statistical modelling, we’d love to hear from you.
 
Apply today or contact Spinnaker for a confidential discussion.