Data Scientist

TL;DR

Data Scientist (Digital Twin): Supporting the development and deployment of a digital twin platform for complex industrial process systems with an accent on advanced separation and chemical engineering principles. Focus on building predictive, physics-informed, and hybrid models that replicate and optimise real-world separation performance.

Location: Must have the right to work in the UK.

Company

hirify.global is supporting their client in their search for a Data Scientist to support the development and deployment of a digital twin platform.

What you will do

• Collect, process, and analyse sensor and process data across lab, pilot, and plant scales.
• Support the development and validation of hybrid physicsML models for complex separation and chemical systems.
• Develop predictive models and apply optimisation algorithms to improve system recovery, energy, and chemical usage.
• Collaborate with software engineers to deploy models into cloud or edge environments and support dashboard development and integration.
• Translate engineering requirements into data science solutions and present findings to technical and nontechnical stakeholders.

Requirements

• MSc or PhD in Data Science, Chemical Engineering, Computational fluid dynamics, Applied Mathematics, or related field.
• 3+ years of experience in industrial data science or process modelling.
• Strong programming skills in Python (NumPy, Pandas, SciPy, scikitlearn, TensorFlow/PyTorch).
• Experience with timeseries modelling and multivariate data analysis.
• Knowledge of statistical modelling, regression, classification, and optimization methods.
• It is essential that applicants have the right to work in the UK.

Culture & Benefits

• Fast-paced R&D environment.
• Crossfunctional collaboration skills.
• Excellent technical documentation and communication skills.