Data Scientist

At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe.  

Do you want to work on end-to-end projects that truly impact business decisions? We’re looking for a Data Scientist who can turn data into real business value and implement innovative solutions. 

Sounds like your kind of challenge?

What you get in return

Flexible cooperation model  – choose the form that suits you best (B2B, employment contract, etc.)

Hybrid work setup  – remote days available depending on the client’s arrangements

Collaborative team culture  – work alongside experienced professionals eager to share knowledge

Continuous development  – access to training platforms and growth opportunities

Comprehensive benefits  – including Interpolska Health Care, Multisport card, Warta Insurance, and more

High quality equipment  – laptop and essential software provided

Note: Detailed project information will be shared during the recruitment process. 

Joining this project you’ll become part of  Mindbox – a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. We’ll back you up every step of the way, accelerate your development, and ensure your skills make a difference.

Daily tasks

• Design and implement machine learning models (predictive, classification, segmentation, recommendation, optimization, NLP).
• Perform data analysis, exploration, and prepare datasets for modeling.
• Prototype and test analytical approaches.
• Develop and deploy production-grade ML solutions.
• Collaborate with clients: requirements analysis, presenting concepts and results.
• Stay up to date with new technologies, libraries, and ML trends; propose innovative solutions

Requirements

Who we're looking for

Tech Stack:

Languages & tools:  Python, Jupyter/Zeppelin, SQL, Spark (PySpark)

Libraries:  Pandas, Numpy, Scikit-learn, Scipy, XGBoost

Nice to have:  TensorFlow, PyTorch, Keras, Optuna, Polars

Required Skills

University degree in quantitative fields (econometrics, mathematics, computer science, quantitative methods)

Minimum 3 years of experience as a Data Scientist in commercial projects

Strong data processing skills (SQL, Python)

Solid knowledge of ML algorithms and hands-on implementation in Python

Very good command of Python (OOP, code optimization)

Ability to communicate with business stakeholders and present results clearly

Nice to Have

End-to-end project delivery experience: from concept to deployment

Experience in NLP, LLM, or Generative AI projects

Work with large-scale datasets (Apache Spark)

Familiarity with cloud platforms (AWS, Azure, GCP)

Must have: Degree, SQL, Python, Spark, PySpark, pandas, NumPy, scikit-learn

Nice to have: NLP, AI, Apache Spark, Cloud platform, Azure, GCP, TensorFlow, PyTorch, Keras