Data Scientist​/U

Inetum Polska is part of the global Inetum Group and plays a key role in driving the digital transformation of businesses and public institutions. Operating in cities such as Warsaw, Poznan, Katowice, Lublin, Rzeszow, Lodz the company offers a wide range of IT services. Inetum Polska actively supports employee development by fully funding training, certifications, and participation in technology conferences. Additionally, the company is involved in local social initiatives, such as charitable projects and promoting an active lifestyle.

It prides itself on fostering a diverse and inclusive work environment, ensuring equal opportunities for all. Globally, Inetum operates in 19 countries and employs over 28,000 professionals. The company focuses on four key areas:

- Consulting (Inetum Consulting):
Strategic advisory services that help organizations define and implement innovative solutions.

- Infrastructure and Application Management (Inetum Technologies):
Designing and managing IT systems tailored to clients’ individual needs.

- Software Implementation (Inetum Solutions):
Deploying partner solutions from industry leaders like Microsoft, SAP, Salesforce, and Service Now.

- Custom Software Development (Inetum Software):
Creating unique software solutions to meet specific client needs. With strategic partnerships with major technology giants, including Microsoft, SAP, Salesforce, and Service Now, Inetum delivers advanced technological solutions tailored to customer requirements. In 2023, Inetum reported revenues of €2.5 billion, underscoring its strong position in the digital services market. Inetum distinguishes itself by offering a comprehensive range of benefits that meet the diverse needs of employees, providing flexibility, support and commitment.

Here’s what makes working at Inetum unique:

We are seeking a Senior Data Scientist to join our team and take ownership of analytics and predictive modeling activities for an industrial sector client. The project focuses on applying Data Science and Machine Learning to analyze and optimize production processes. You will work with production, process, sensor, and time-series data to develop practical ML solutions that support process optimization, quality and scrap prediction, anomaly detection, and predictive maintenance.

Develop and deploy predictive models using Python and practical ML techniques. Work with production, process, sensor, and time-series data to derive actionable insights. Focus on process optimization, quality/scrap prediction, anomaly detection, and predictive maintenance. Independently own analytics and modeling work, ensuring high-quality deliverables. Communicate findings and recommendations clearly to customer stakeholders in professional English.

• Process Industry
  
  Experience:
  
  Proven track record of applying ML to heavy/continuous manufacturing industries (e.g., pulp & paper, steel/metals, chemicals, refining, glass, or pharmaceuticals).
• Industrial Sensor & Time-Series Data:
  Demonstrated experience working with high-frequency, noisy historian/SCADA/telemetry feeds, sensor drift, missing data, and continuous time-series feature engineering.
• Core Predictive Use Cases:
  Hands-on experience developing and deploying models for at least two of the following:
  Scrap reduction & product quality prediction (soft sensors, virtual metrology) Process parameter optimization & yield maximization Asset health, anomaly detection, or predictive maintenance (PdM)
• Hands-on Python & ML Stack:
  Mastery of core Python data science libraries (pandas, polars, numpy, scipy), classical ML/gradient boosting (LightGBM, XGBoost, Cat Boost, scikit-learn), and time-series packages.
• Autonomous Delivery & Client Facing:
  Proven ability to…