About this role
<p><span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:14.0pt"><strong>Type of contract:</strong> employment contract </span></p> <p><span style="font-family:tahoma, arial, helvetica, sans-serif;font-size:14.0pt"><strong>Salary range:</strong> 18 800 - 28 500 PLN gross/m </span></p> <p> </p> <p> </p> <p><strong><span style="font-family:tahoma, arial, helvetica, sans-serif">What will you do? </span></strong></p> <p> </p> <p><span style="font-family:tahoma, arial, helvetica, sans-serif">We are looking for a hands-on Data Engineer / Data Scientist with a strong Python background and experience in AI-driven solutions. </span><span style="font-family:tahoma, arial, helvetica, sans-serif">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. </span><span style="font-family:tahoma, arial, helvetica, sans-serif">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.</span></p> <p><span style="font-family:tahoma, arial, helvetica, sans-serif"> </span></p> <p><span style="font-family:tahoma, arial, helvetica, sans-serif"><strong>Your tasks </strong></span></p> <p> </p> <ul> <li style="font-family:tahoma, arial, helvetica, sans-serif"><span style="font-family:tahoma, arial, helvetica, sans-serif">Implement data processing pipelines using Python and PySpark</span></li> <li style="font-family:tahoma, arial, helvetica, sans-serif"><span style="font-family:tahoma, arial, helvetica, sans-serif">Develop supervised and unsupervised machine learning models</span></li> <li style="font-family:tahoma, arial, helvetica, sans-serif"><span style="font-family:tahoma, arial, helvetica, sans-serif">Build and evaluate LLM-based and Generative AI solutions (prompting, orchestration, evaluation)</span></li> <li style="font-family:tahoma, arial, helvetica, sans-serif"><span style="font-family:tahoma, arial, helvetica, sans-serif">Develop analytical and alerting models for financial crime detection</span></li> <li style="font-family:tahoma, arial, helvetica, sans-serif"><span style="font-family:tahoma, arial, helvetica, sans-serif">Perform business-oriented data analysis and functional design</span></li> <li style="font-family:tahoma, arial, helvetica, sans-serif"><span style="font-family:tahoma, arial, helvetica, sans-serif">Work within the Big Data ecosystem to process and transform large datasets</span></li> <li style="font-family:tahoma, arial, helvetica, sans-serif"><span style="font-family:tahoma, arial, helvetica, sans-serif">Optimize distributed data processing jobs (Spark) </span></li> </ul> <p> </p> <p><span style="font-family:tahoma, arial, helvetica, sans-serif"><strong>Your skills </strong></span></p> <p> </p> <ul> <li style="font-family:tahoma, arial, helvetica, sans-serif"><span style="font-family:tahoma, arial, helvetica, sans-serif">Minimum 5–6 years of commercial experience in similar roles</span></li> <li style="font-family:tahoma, arial, helvetica, sans-serif"><span style="font-family:tahoma, arial, helvetica, sans-serif">Very good knowledge of Python 3.x</span></li> <li style="font-family:tahoma, arial, helvetica, sans-serif"><span style="font-family:tahoma, arial, helvetica, sans-serif">Experience with PySpark and distributed data processing</span></li> <li style="font-family:tahoma, arial, helvetica, sans-serif"><span style="font-family:tahoma, arial, helvetica, sans-serif">Practical experience within the Big Data ecosystem</span></li> <li style="font-family:tahoma, arial, helvetica, sans-serif"><span style="font-family:tahoma, arial, helvetica, sans-serif">Experience in developing analytical or alerting models</span></li> <li style="font-family:tahoma, arial, helvetica, sans-serif"><span style="font-family:tahoma, arial, helvetica, sans-serif">Solid understanding of data pipelines and scalable data architectures</span></li> <li style="font-family:tahoma, arial, helvetica, sans-serif"><span style="font-family:tahoma, arial, helvetica, sans-serif">Experience with Agentic AI frameworks and AI agent development</span></li> <li style="font-family:tahoma, arial, helvetica, sans-serif"><span style="font-family:tahoma, arial, helvetica, sans-serif">Knowledge of LLMs and Generative AI (prompt engineering, orchestration, evaluation)</span></li> </ul> <p style="font-family:tahoma, arial, helvetica, sans-serif"><strong><span style="font-family:tahoma, arial, helvetica, sans-serif">Experience in:</span></strong></p> <ul> <li style="font-family:tahoma, arial, helvetica, sans-serif"><span style="font-family:tahoma, arial, helvetica, sans-serif">Machine Learning (Supervised & Unsupervised Learning)</span></li> <li style="font-family:tahoma, arial, helvetica, sans-serif"><span style="font-family:tahoma, arial, helvetica, sans-serif">Large Language Models (LLM)</span></li> <li style="font-family:tahoma, arial, helvetica, sans-serif"><span style="font-family:tahoma, arial, helvetica, sans-serif">GCP/VertexAI/Google ADK</span></li> <li style="font-family:tahoma, arial, helvetica, sans-serif"><span style="font-family:tahoma, arial, helvetica, sans-serif">Generative Models (GANs, Variational Autoencoders – VAE)</span></li> <li style="font-family:tahoma, arial, helvetica, sans-serif"><span style="font-family:tahoma, arial, helvetica, sans-serif">Experience with Spark (Big Data / Streaming)</span></li> <li style="font-family:tahoma, arial, helvetica, sans-serif"><span style="font-family:tahoma, arial, helvetica, sans-serif">Data analysis skills including business and functional design</span></li> <li style="font-family:tahoma, arial, helvetica, sans-serif"><span style="font-family:tahoma, arial, helvetica, sans-serif">English level B2+ </span></li> </ul> <p> </p> <p><span style="font-family:tahoma, arial, helvetica, sans-serif"><strong>Nice to have </strong></span></p> <p><span style="font-family:tahoma, arial, helvetica, sans-serif"> </span></p> <ul> <li style="font-family:tahoma, arial, helvetica, sans-serif"><span style="font-family:tahoma, arial, helvetica, sans-serif">Experience in financial services or transaction monitoring</span></li> <li style="font-family:tahoma, arial, helvetica, sans-serif"><span style="font-family:tahoma, arial, helvetica, sans-serif">Experience in Anti-Financial Crime (AFC) domain</span></li> <li style="font-family:tahoma, arial, helvetica, sans-serif"><span style="font-family:tahoma, arial, helvetica, sans-serif">Experience working in regulated environments </span></li> </ul> <p> </p> <p><span style="font-family:tahoma, arial, helvetica, sans-serif"><strong>We offer you </strong></span></p> <p> </p> <ul> <li style="font-family:tahoma, arial, helvetica, sans-serif"><span style="font-family:tahoma, arial, helvetica, sans-serif">Hybrid work in one of our locations: Lodz, Poznan, Krakow, Warszawa, Wroclaw (2 office days per week) </span></li> <li style="font-family:tahoma, arial, helvetica, sans-serif"><span style="font-family:tahoma, arial, helvetica, sans-serif">Working in a highly experienced and dedicated team </span></li> <li style="font-family:tahoma, arial, helvetica, sans-serif"><span style="font-family:tahoma, arial, helvetica, sans-serif">Benefit package that can be tailored to your personal needs (private medical coverage, sport & recreation package, lunch subsidy, life insurance, etc.) </span></li> <li style="font-family:tahoma, arial, helvetica, sans-serif"><span style="font-family:tahoma, arial, helvetica, sans-serif">On-line training and certifications fit for career path </span></li> <li style="font-family:tahoma, arial, helvetica, sans-serif"><span style="font-family:tahoma, arial, helvetica, sans-serif">Access to e-learning platform </span></li> <li style="font-family:tahoma, arial, helvetica, sans-serif"><span style="font-family:tahoma, arial, helvetica, sans-serif">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) </span></li> <li style="font-family:tahoma, arial, helvetica, sans-serif"><span style="font-family:tahoma, arial, helvetica, sans-serif">Social events </span></li> </ul>