> Markdown version of [/jobs/ext/4573986-process-intelligence-scientist-python-machine-learning-statistics](https://www.wearedevelopers.com/jobs/ext/4573986-process-intelligence-scientist-python-machine-learning-statistics). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Process Intelligence Scientist - Python, Machine Learning, Statistics

- **Company:** Keit
- **Location:** Chilton, UK (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Python (Programming Language), Machine Learning, Operational Data Store, Software Engineering, Data Processing, Delivery Pipeline, Data Analytics
- **Published:** November 5, 2026
- **Apply:** https://www.hiredonline.co.uk/jobs/225800649-process-intelligence-scientist-python-machine-learning-statistics/recruitmentrevolution-com

## About the Role

Your Background / Skills: Python, Machine Learning, Data Science, Statistics, Predictive Modelling, Industrial Data, Process Analytics, Time-Series Analysis, Chemometrics, Process Optimisation.

Candidates must already have the unrestricted right to work in the UK., You're a curious data scientist or analytical specialist who enjoys solving difficult problems and finding meaningful insights in complex information.

You're comfortable working with incomplete, noisy and imperfect datasets, and enjoy translating technical ideas into practical solutions.

You'll also bring:

 * Strong foundations in machine learning, statistics or data science.
 * Excellent Python programming skills and hands-on predictive modelling experience.
 * Proven ability to extract valuable insights from messy, real-world datasets.
 * Experience developing and applying statistical or machine learning models to practical problems.
 * Strong analytical reasoning and an evidence-led approach to problem-solving.
 * The confidence to explain complex technical concepts clearly to non-specialists.
 * A collaborative, customer-focused mindset and the initiative to turn ideas into working solutions.

Highly Desirable

 * Experience within industrial biotechnology, fermentation, manufacturing or process industries.
 * Knowledge of chemometrics, including PLS, PCA, spectral preprocessing or calibration development.
 * Experience with spectroscopy or analytical instrumentation.
 * Time-series analytics, anomaly detection or industrial process optimisation.
 * Familiarity with Azure-based data and analytics environments.

The Person We're Looking For

We value potential and attitude just as highly as existing industry knowledge.

You don't need to know everything about spectroscopy or fermentation, but you do need the curiosity and technical foundations to learn quickly.

You'll thrive in a team that debates ideas constructively, challenges assumptions and makes evidence-based decisions.

## Description

At Keit, we're passionate about making complex industrial processes easier to understand, monitor and improve.

Our IRmadillo spectrometer platform provides advanced, real-time chemical analysis, while our IRis software platform combines spectroscopy, laboratory measurements and operational data to deliver meaningful process insights.

Today, our technology helps customers in the fuel ethanol industry monitor and optimise fermentation.

But we're only scratching the surface.

With access to an increasingly rich dataset across industrial plants, we see exciting opportunities to use machine learning to predict yield losses, detect anomalies, improve efficiency and identify maintenance needs.

And beyond fermentation, there's the potential to expand into entirely new processes and industries.

We're not simply collecting data. We're turning it into intelligence that could transform how industrial plants operate.

Your Role in the Story

As our Process Intelligence Scientist, you'll work at the intersection of machine learning, chemistry, industrial processes and software development.

You'll develop predictive models, improve existing chemometric capabilities and explore new ways to turn complex process data into practical recommendations for customers.

Working closely with chemometricians, software developers and customer engineering teams, you'll understand real operational challenges and develop solutions that create measurable value.

This is a hands-on opportunity to combine technical problem-solving, experimentation and customer collaboration while helping shape the future of our IRis platform.

What success looks like:

 * Develop predictive models using spectroscopy, laboratory measurements and industrial process data.
 * Apply machine learning and statistics to identify inefficiencies, yield losses, contamination risks and equipment deviations.
 * Improve chemometric models, including calibration development, validation and ongoing performance.
 * Explore time-series modelling, anomaly detection and advanced process optimisation techniques.
 * Help automate model development, maintenance and deployment workflows.
 * Work directly with customers to understand operational challenges, data quality and sampling requirements.
 * Collaborate with software developers to turn analytical methods into scalable product capabilities.
 * Identify opportunities to expand IRis into new process areas and industries.
 * Use evidence and experimentation to improve performance and shape future analytical capabilities., Weighbridge Operator Reporting to the Site Manager, the Weighbridge Operator is responsible for correctly recording all incoming and outgoing vehicles on the weighbridge system and their overall compl…
1d ago