Data Scientist

Odmeňovanie

2 500 EUR/month euro brutto (the final salary depends on candidate´s experience)

Information about the position

Artificial intelligence (AI) and data science are a one of major pillars of the strategy. You will contribute to growth by identifying use cases that bring value to different functions (sales, marketing, operations, finance, risks, etc.) and implementing them with AI methodology.

Responsibilities

• Understand business needs and identify opportunities for analytics, automation, and machine‑learning solutions
• Analyze, prepare, and explore data using approved data sources
• Extract meaningful insights from internal and external datasets to support operational and strategic decision‑making
• Build predictive models (classification, regression, forecasting) and pattern‑detection models (clustering, dimensionality reduction)
• Develop clean, well‑documented, production‑ready Python code with focus on quality, interpretability, and maintainability
• Ensure model interpretability, monitor performance, detect bias, and validate alignment with business needs
• Collaborate with IT, business stakeholders, and data experts to continuously improve analytical solutions
• Solve business issues using advanced analytics and machine learning techniques
• Contribute to the data‑driven strategy and follow best practices in data management, data protection, and AI governance
• Stay up to date with emerging Data Science methods and tools

Technical requirements

• Python (advanced) – model development, data processing, production‑grade code
• ETL processing – design and build data pipelines
• Model development, experimentation, and model management
• Version control, documentation, and CI/CD workflows
• Visualization and presentation of insights
• Compliance with internal standards – AI governance, data protection, model‑risk management

Requirements

• Engineering degree or an equivalent university degree (Master's level) with a specialization in Data Science, Artificial Intelligence, Mathematics, or Applied Statistics
• Expertise in Machine Learning
• Proficiency in Python data and machine-learning libraries focused on data analysis and machine learning
• Strong analytical skills and attention to details
• Good communication and presentation skills