Senior Data Scientist (Manufacturing / Industrial ML)
P&P Solutions
Warsaw, Poland • 1h ago • Remote
Senior
Remote
457,600 - 520,000 PLN/yr
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Quick Facts
- Remote (100%); ~2 trips to the UK
- Contract length: 3–4 months, with potential extension
- Rate: up to 250 PLN/h net + VAT (B2B)
- Start: ASAP
- English: at least B2
Description
Join an international industrial project for a UK client using Data Science and Machine Learning to optimize manufacturing processes, improve quality, and reduce material losses. This practical role focuses on predictive modeling using industrial/process and sensor/telemetry time-series data—not GenAI or Business Intelligence.
Responsibilities
- Analyze production, process, and telemetry data (including sensor and time-series data)
- Design, develop, and implement machine learning and predictive solutions
- Build models to support product quality prediction and reduce production losses
- Optimize production process parameters to increase throughput/yield
- Develop anomaly detection, equipment state monitoring, and predictive maintenance solutions
- Perform time-series feature engineering considering data specifics and quality
- Lead analytical work end-to-end: from defining the operational problem to delivering models and recommendations
- Present results and recommendations to business and technical stakeholders in English
Requirements
- Documented ML experience in process industry or continuous manufacturing
- Practical knowledge of sensor and SCADA/historian/telemetry data, including noisy and incomplete time-series
- Experience in at least two areas: quality prediction & loss reduction; process optimization & yield; anomaly detection or predictive maintenance
- Very good Python skills and experience with Pandas, NumPy, SciPy or Polars
- ML experience including scikit-learn and XGBoost/LightGBM/CatBoost
- Ability to work independently on analyses and collaborate with engineers and operational teams
- English at least B2 and readiness for ~2 UK business trips
Benefits
- Up to 250 PLN/h net on B2B
- Convenient salary payment method
- 14-day invoice payment terms
- Long-term cooperation
- Private medical care package
- Access to MyBenefit cafeteria platform (e.g., MultiSport cards and gift cards for popular stores/services)
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