Process Intelligence Scientist - Python, Machine Learning, Statistics, Data Science

Machine Learning | Python | Data Science | Industrial Analytics | Predictive Modelling | Process Optimisation Imagine using advanced analytics to predict problems before they happen, improve manufacturing performance and help industrial plants operate more efficiently.

Not through hypothetical datasets, but by working with real industrial processes, real customers and data that makes a measurable difference. Welcome to Keit. We're an innovative UK technology company developing advanced analytical solutions that help manufacturers understand and optimise their processes in real time.

Our technology combines spectroscopy, industrial process data and intelligent software to unlock insights that traditional monitoring methods can't provide. Now we're looking for a talented Process Intelligence Scientist to help take that capability to the next level.

The Role at a Glance Process Intelligence Scientist Harwell Campus, Didcot, Oxfordshire | Office-Based £45,000–£65,000 DOE Full Time | Permanent Monday–Friday, 9am–5:30pm (Some Flexibility Available) Occasional International Travel, Primarily North America Sector: Industrial Analytics | Machine Learning | Spectroscopy | Process Technology 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.

The Keit Story 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, impr...

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