We are Near.U. We strive to develop our solutions by following the best practices of our craft. That means building robust, well-tested and maintainable models and code that deliver real, measurable value to our customers. We are looking to grow our team with a
Senior Data Scientist / ML Engineer
with hands?on experience in
process-industry production data
.
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.
Please note:
This position is primarily remote and open to candidates based in Portugal or the EU. Occasional travel to the UK, about twice during the initial assignment, is required. Start date: as soon as possible.
Moongy Group is an Equal Opportunity employer. All applicants will be considered without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion.
Responsibilities
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
Requirements
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
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📌 Senior Data Scientist (Granada)
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