Our client is a global pharmaceutical company expanding its production management systems through Data Science and Machine Learning. The goal is to build a suite of analytical tools, using Power BI for data visualization and ML algorithms to uncover trends, detect anomalies, and implement predictive maintenance solutions for early detection of machine wear or malfunction.
As part of the project, the client is developing a suite of analytical tools that use Power BI as a data visualization interface and are powered by Machine Learning algorithms to analyze trends, uncover hidden patterns, and improve manufacturing processes through early detection of equipment wear or malfunctions (Predictive Maintenance).
What you’ll do:
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Use OCR technologies (e.g., AWS Textract, Tesseract) to extract data from paper-based documents
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Collaborate closely with industry experts to understand production processes and data
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Analyze business requirements and define data analysis goals
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Evaluate the feasibility and time estimates for requested data science tasks
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Select, implement, and improve machine learning models
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Explore and process data from historian systems
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Regularly report progress and present results to stakeholders
Requirements:
Data Science & ML Experience
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At least 3 years of hands-on experience in commercial ML projects
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Proficiency in training and evaluating ML models
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Experience with both supervised and unsupervised learning techniques
Technical Skills
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Experience with OCR tools (AWS Textract, Tesseract)
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Strong Python skills and experience with key ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost, aiohttp)
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Experience with OCR tools (AWS Textract, Tesseract)
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Skilled in handling and analyzing large datasets using Pandas, NumPy, SQL
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Familiarity with SQL and NoSQL databases
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Working knowledge of version control (Git, GitFlow)
- Basic understanding of Power BI is a plus
Analytical & Communication Skills
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Ability to translate business needs into technical solutions
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Strong communication skills – ability to explain complex technical topics to non-technical stakeholders
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English and Polish fluency at C1 level (both spoken and written)
Nice to have:
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Knowledge of Predictive Maintenance and Industry 4.0 concepts (e.g., machine condition forecasting, vibration analysis, failure detection)
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Understanding of industrial systems like IoT, SCADA, DCS, IIoT
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Experience with historian systems (e.g., AVEVA Historian, OSIsoft PI) or industrial protocols (OPC, Modbus)
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Cloud technologies experience (Azure, AWS, GCP), especially ML Ops
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Familiarity with DevOps/CI-CD tools for ML (e.g., Docker, Kubernetes)
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Experience with production/process data (e.g., PLC, SCADA, Historian data)
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Power BI dashboard development and data source integration
What we offer:
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An attractive and challenging role in a close-knit team of passionate IT professionals, with a relaxed and friendly work atmosphere
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Participation in innovative projects for a global client
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Flexible form of employment and working hours
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Private healthcare package
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Remote work flexibility with occasional mandatory in-person meetings at our office — where you’ll find fresh fruit, snacks, and unlimited great coffee!