Data Scientist / Analyst

Quick Facts

• Project: long-term, multi-year (to 2026 with yearly extensions)
• Work model: hybrid (1 day/2 weeks in the Warsaw office; usually Wednesday or Thursday)
• Contract: B2B; full-time
• Start: 01.10.2026 (or shortly after)

Description

You will design, build, and deploy to production data analysis and machine learning solutions for bank projects in areas such as process mining, churn analysis, fraud prevention, and NLP.

Responsibilities

• Design and implement analytics solutions
• Maintain and optimize production-grade solutions
• Identify process bottlenecks and propose cost-effective optimizations
• Collaborate with the business team to deliver projects

Requirements

• Minimum 5 years of commercial experience
• Relevant higher education (Computer Science, IT, Telecommunication, etc.)
• Basic experience supporting and deploying production solutions
• Very good knowledge of Python (including scipy, pandas, matplotlib)
• Experience with Apache Spark
• Experience with Scala or Java
• Strong experience with classic machine learning
• SQL, ability to write queries independently
• Azure Synapse
• DevOps basics: Docker
• DevOps basics: Kubernetes (setting up and managing containers)
• Handling basic tasks
• REST API
• Knowledge of machine learning topics

Benefits

• Long-term project across multiple years
• B2B full-time contract with extension after initial contract period