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:
With strategic partnerships with major technology giants, including Microsoft, SAP, Salesforce, and ServiceNow, 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:
Flexible and hybrid work:
Attractive financial benefits:
Professional development and team support:
Community and Well-Being:
Professional experience as a Machine Learning Engineer or Data Scientist, minimum 3 years;
Project experience in advanced machine learning-based modeling, at least 1 project;
Project experience in Python programming, at least 1 project;
Project experience in processing and analyzing large datasets, at least 1 project;
Experience in deploying ML-based solutions to production environments, at least 1 project;
Knowledge of machine learning libraries (scikit-learn, MLLib, XGBoost);
Knowledge of PySpark;
Knowledge of Airflow;
Knowledge of MLflow;
Good self-organization and goal-oriented approach;
Interpersonal and organizational skills, planning capabilities;
Communicative, creative, independent, well-mannered, stress-resilient, inquisitive;
Adaptability and flexibility, openness to continuous development and willingness to learn.
Nice to have:
Project experience in the healthcare domain;
Project experience in the Data Warehouse domain;
Certification in agile project management (e.g., Agile PM or equivalent);
Certification confirming knowledge of Apache Airflow (e.g., Airflow Fundamentals or equivalent);
Certification confirming the ability to create Airflow DAGs (e.g., DAG Authoring or equivalent);
Certification confirming knowledge of Apache Spark (e.g., Spark Developer Associate or equivalent);
Certification confirming knowledge of SQL (e.g., W3Schools SQL Certificate or equivalent).