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.

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

Candidates must already have the unrestricted right to work in the UK.

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.

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 chemo metric 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.

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.

• 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.

• Experience with in 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.

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

You…