Senior Data Scientist / ML Engineer (Process Industry)

You will join an existing international team on an industrial production analytics project. You’ll develop predictive models that help customers in industries such as pulp & paper, steel and chemicals optimise their processes, improve quality and reduce downtime. This is a hands-on Data Science / ML role. It is not focused on Data Engineering, BI or GenAI.

While working at MoOngy, you are expected to share your knowledge, and you’ll have the opportunity to learn new technologies and work on international projects. Our talent management program is tailor-made to help you grow your career the way you envision it., * Develop, validate and improve predictive models on production, process, sensor and time-series data

• Build solutions for process optimisation, quality and scrap prediction, anomaly detection and predictive maintenance
• Independently own analytics and modelling workstreams, from data exploration to model delivery
• Work closely with the existing team and customer process experts to understand production challenges
• Communicate findings, results and recommendations clearly to customer stakeholders
• Contribute to a good team spirit and share your knowledge to improve the work of others

• Degree in Data Science, Computer Science, Engineering, Mathematics, Physics or similar
• Senior-level, hands-on experience developing predictive models in process-industry environments (pulp & paper, steel, chemicals or similar)
• Strong Python skills and practical ML / predictive modelling experience (e.g. pandas, scikit-learn, XGBoost/LightGBM, PyTorch or TensorFlow)
• Solid experience with production, process, sensor and/or time-series data
• Proven experience in at least one of: process optimisation, quality/scrap prediction, anomaly detection or predictive maintenance
• Autonomy and ownership of your own analytics and modelling work
• Strong professional English, written and spoken, with the ability to present findings to non-technical stakeholders
• Availability to travel to the UK occasionally
• Nice to have: experience with industrial data platforms or historians (e.g. OSIsoft PI / AVEVA), cloud ML tooling (Azure ML, Databricks, MLflow), and previous consulting or customer-facing experience