AI & Emerging technologies

Process Intelligence Scientist – Python, Machine Learning, Statistics, Data Science.

Recruitment Revolution

Remote · Nationwide · United Kingdom

Overview

As Process Intelligence Scientist, you will develop predictive models that combine spectroscopy, laboratory measurements and industrial data to improve manufacturing performance. You will work across chemistry, industrial processes and software, turning complex data into actionable recommendations for customers. This role connects analytics with real-world operations, helping to predict issues, reduce waste and optimise processes. You will collaborate with chemometricians, software developers and customer engineers to shape the IRis platform and deliver measurable value.

Pay / Benefits
  • Salary 45,000–65,000 DOE
  • Some flexibility in working hours
  • Exposure to advanced spectroscopy and ML
  • Direct exposure to industrial challenges and international customers
  • Influence on product capabilities and technical direction
  • Collaborative and supportive working environment
Responsibilities
  • Develop predictive models using spectroscopy, lab measurements and industrial process data
  • Apply ML and statistics to identify inefficiencies, yield losses, contamination risks and deviations
  • Improve chemometric models, including calibration development and validation
  • Explore time-series modelling, anomaly detection and advanced process optimisation
  • Automate model development, maintenance and deployment workflows
  • Engage with customers to understand operational challenges, data quality and sampling requirements
  • Collaborate with software developers to translate analytical methods into scalable product features
  • Identify opportunities to expand IRis into new process areas and industries
  • Use evidence and experimentation to improve performance and inform analytical direction
Key requirements
  • Strong foundations in machine learning, statistics or data science
  • Excellent Python programming skills and hands-on predictive modelling experience
  • Proven ability to extract insights from messy, real-world datasets
  • Experience applying statistical or ML models to practical problems
  • Analytical reasoning and evidence-led problem solving
  • Ability to explain complex concepts to non-specialists
  • Collaborative, customer-focused mindset and initiative to implement solutions
  • unrestricted right to work in the UK
  • Experience with industrial data or process analytics is desirable
  • Collaborative
  • Customer-focused
  • Curious and problem-solving mindset
  • Python
  • Machine Learning
  • Data Science

Reference: WJ-747_31241205 · Posted 06 Nov 2026, 09:41 PM

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