Job Description

Type of contract: employment contract

Salary range: 18 800 - 28 500 PLN gross/m

What will you do?

We are looking for a hands-on Data Engineer / Data Scientist with a strong Python background and experience in AI-driven solutions. This role combines solid data engineering capabilities with analytical and modeling skills. You will focus on building scalable data pipelines and developing AI/ML and agent-based solutions leveraging LLM technologies. You will join the Transaction Monitoring area within the Anti-Financial Crime Division at one of our UK banking clients, contributing to advanced analytics and intelligent automation initiatives.

Your tasks

• Implement data processing pipelines using Python and PySpark
• Develop supervised and unsupervised machine learning models
• Build and evaluate LLM-based and Generative AI solutions (prompting, orchestration, evaluation)
• Develop analytical and alerting models for financial crime detection
• Perform business-oriented data analysis and functional design
• Work within the Big Data ecosystem to process and transform large datasets
• Optimize distributed data processing jobs (Spark)

Your skills

• Minimum 5–6 years of commercial experience in similar roles
• Very good knowledge of Python 3.x
• Experience with PySpark and distributed data processing
• Practical experience within the Big Data ecosystem
• Experience in developing analytical or alerting models
• Solid understanding of data pipelines and scalable data architectures
• Experience with Agentic AI frameworks and AI agent development
• Knowledge of LLMs and Generative AI (prompt engineering, orchestration, evaluation)
• Experience in:
• Machine Learning (Supervised & Unsupervised Learning)
• Large Language Models (LLM)
• Generative Models (GANs, Variational Autoencoders – VAE)
• Experience with Spark (Big Data / Streaming)
• Data analysis skills including business and functional design
• English level B2+

Nice to have

• Experience in financial services or transaction monitoring
• Experience in Anti-Financial Crime (AFC) domain
• Experience working in regulated environments

We offer you

• Hybrid work in one of our locations: Lodz, Poznan, Krakow, Warszawa, Wroclaw (2 office days per week)
• Working in a highly experienced and dedicated team
• Benefit package that can be tailored to your personal needs (private medical coverage, sport & recreation package, lunch subsidy, life insurance, etc.)
• On-line training and certifications fit for career path
• Access to e-learning platform
• Mindgram - a holistic mental health and wellbeing platform
• Work From Anywhere (WFA) - the temporary option to work remotely outside of Poland for up to 140 days per year (including Italy, Spain, the UK, Germany, Portugal, and Bulgaria)
• Social events