Applied ML Scientist: Causal Inference & Modeling

Roc Search; Greater London; Vor Ort; GBP 90.000 - 150.000; Vollzeit

Zusammenfassung

Roc Search is seeking an Applied Scientist specialising in Machine Learning, Causal Inference and Mathematical Modelling to develop intelligent solutions for complex, dynamic systems. You will work across the full ML lifecycle from research to deployment, collaborating with engineers and domain experts to apply statistical methods and causal reasoning in real-world environments.

The role balances scientific research with practical engineering, offering opportunity to influence technical

Qualifikationen

• PhD or MSc in a quantitative field.
• Strong background in ML and statistics.
• Experience with causal inference and experimental design.

Aufgaben

• Develop ML, statistical and causal methods for real-world problems.
• Design experiments to identify causal relationships and test hypotheses.
• Translate complex problems into mathematical and computational models.
• Analyze time-series and observational data to identify patterns and mechanisms.
• Develop and refine predictive/decision models using modern ML.
• Collaborate with engineers to deploy models in real-world apps.
• Contribute to research and new methodologies.

Kenntnisse

Machine learning

Causal inference

Statistical modelling

Applied mathematics

Python programming

Time-series analysis

Experiment design

Bayesian inference

Reinforcement learning

Ausbildung

PhD or MSc

Tools

PyTorch

JAX

scikit-learn

Jobbeschreibung

Roc Search is seeking an Applied Scientist specialising in Machine Learning, Causal Inference and Mathematical Modelling to develop intelligent solutions for complex, dynamic systems. You will work across the full ML lifecycle from research to deployment, collaborating with engineers and domain experts to apply statistical methods and causal reasoning in real-world environments.

The role balances scientific research with practical engineering, offering opportunity to influence technical