Senior Data Scientist

• Develop and deploy predictive models using Python and practical machine learning techniques
• Work with production, process, sensor, and time-series data to derive actionable insights
• Optimize processes and support quality and scrap prediction
• Develop solutions for anomaly detection and predictive maintenance
• Independently own analytics and modeling work
• Ensure high-quality deliverables
• Communicate findings and recommendations clearly to customer stakeholders in professional English

• Proven experience applying machine learning to heavy/continuous manufacturing industries, such as pulp and paper, steel/metals, chemicals, refining, glass, or pharmaceuticals
• Experience with high-frequency, noisy historian/SCADA/telemetry feeds
• Experience handling sensor drift and missing data
• Experience with continuous time-series feature engineering
• Hands-on experience developing and deploying models for at least two of: scrap reduction and product quality prediction; process parameter optimization and yield maximization; asset health, anomaly detection, or predictive maintenance
• Mastery of Python data science libraries including pandas, polars, numpy, scipy
• Mastery of classical machine learning and gradient boosting tools including LightGBM, XGBoost, CatBoost, and scikit-learn
• Experience with time-series packages
• Ability to translate ambiguous operational problems into structured analytical tasks
• Ability to work directly with plant engineers and operations stakeholders
• Ability to present findings clearly
• Willingness to travel to the UK approximately twice during the initial project phase
• Fluent English and Polish
• Additional programming languages or data science tools are nice to have
• Familiarity with cloud platforms and data science or machine learning services is nice to have
• Advanced degrees or certifications in Data Science, Machine Learning, or related fields are nice to have

• A cafeteria system allowing employees to personalize benefits
• Referral bonuses of up to PLN6,000
• Additional revenue-sharing opportunities for initiating partnerships with new clients
• Dedicated Team Manager guidance
• Tailored technical mentoring from an assigned technical leader
• Team-building budget for online and on-site team events
• Opportunities to participate in charitable initiatives and local sports programs
• Supportive and inclusive work culture emphasizing diversity and mutual respect
• Fully funded training, certifications, and participation in technology conferences
• Remote work for candidates based in Poland