Data Scientist, Inetum

Inetum

Location:
Poland, Warsaw

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

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.

Requirements:

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)

What we offer:

Flexible working hours
Hybrid work model
Cafeteria system
Generous referral bonuses
Additional revenue sharing opportunities
Ongoing guidance from a dedicated Team Manager
Tailored technical mentoring
Dedicated team-building budget
Opportunities to participate in charitable initiatives and local sports programs
Supportive and inclusive work culture

Additional Information:

Job Posted:
April 25, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Data Scientist