Remote Senior Data Scientist, Process Industry ML

Near U Ltd

Spain

Remote

EUR 70,000 - 98,000

Full time

18 hours ago
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Job summary

Near U Ltd is seeking a Senior Data Scientist / ML Engineer with hands-on experience in process-industry production data to join our international team on an industrial production analytics project. You will develop predictive models to optimise processes, improve quality and reduce downtime, working remotely with colleagues in the EU.

Based in Portugal or other EU countries, you will travel occasionally to the UK.

Qualifications

  • Degree in Data Science, Computer Science, Engineering, Mathematics, Physics or similar.
  • Senior-level hands-on experience developing predictive models in process-industry environments.
  • Strong Python skills and practical ML / predictive modelling experience.

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 team and customer process experts to understand production challenges.
  • Communicate findings and recommendations clearly to customer stakeholders.
  • Contribute to a good team spirit and share knowledge to improve the team.

Skills

Python
ML modelling
Pandas
Scikit-learn
XGBoost
LightGBM
PyTorch
TensorFlow

Education

Degree in Data Science or related field

Tools

OSIsoft PI
AVEVA
Azure ML
Databricks
MLflow

Job description

Near U Ltd is seeking a Senior Data Scientist / ML Engineer with hands-on experience in process-industry production data to join our international team on an industrial production analytics project. You will develop predictive models to optimise processes, improve quality and reduce downtime, working remotely with colleagues in the EU.

Based in Portugal or other EU countries, you will travel occasionally to the UK.

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