Data Scientist

Jackson Hogg
Liverpool, Merseyside, United Kingdom
3 days ago
Job Type
Permanent
Work Pattern
Full-time
Work Location
On-site
Seniority
Mid
Education
Masters
Security Clearance
Required
Posted
3 Jun 2026 (3 days ago)

Benefits

Basic DBS check

We are currently supporting our client in their search for a Data Scientist to support the development and deployment of a digital twin platform for complex industrial process systems based on advanced separation and chemical engineering principles, along with analytical insights into the development of future technologies.

The successful candidate will work at the intersection of data science, process modelling, and chemical engineering to build predictive, physics-informed, and hybrid models that replicate and optimise real-world separation performance. This role is ideal for someone who enjoys translating process data into intelligent, operational decision-support systems.

Additional responsibilities include analysing experimental and pilot-scale data to support product development and performance characterisation.

Key roles and responsibilities:

* Data engineering & analytics – collect, process and analyse sensor and process data across lab, pilot and plant scales

* Digital twin development – support the development and validation of hybrid physics-ML models for complex separation and chemical systems

* Advanced modelling and optimisation – develop predictive models and apply optimisation algorithms to improve system recovery, energy and chemical usage, supported by scenario analysis

* Deployment and integration - collaborate with software engineers to deploy models into cloud or edge environments and support dashboard development and integration

* Cross-functional collaboration – translate engineering requirements into data science solutions and present findings to technical and non-technical stakeholders

Candidate 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, scikit-learn, TensorFlow/PyTorch)

* Experience with time-series modelling and multivariate data analysis

* Knowledge of statistical modelling, regression, classification, and optimization methods

* Knowledge of equilibrium and kinetics modelling

* Experience developing digital twins or hybrid modeling frameworks

* Familiarity with process simulation tools (e.g., Aspen, gPROMS, MATLAB)

* Experience with cloud platforms (AWS, Azure, GCP)

* Strong problem-solving

* Cross-functional collaboration skills

* Ability to manage multiple projects in a fast-paced R&D environment

* Excellent technical documentation and communication skills

It is essential that applicants have the right to work in the UK. Due to the nature of the role, successful applicants will be subject to satisfactory background checks including a basic DBS check

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Industry Insights

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Where to Advertise Data Science Jobs in the UK (2026 Guide)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.