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Data Engineer / Data Scientist (AI & LLM Solutions) Expert

Data Engineer / Data Scientist (AI & LLM Solutions) Expert

Custom Field 1:  DataScience
Custom Field 3:  DataScience
Country/Region:  PL
Date:  Mar 4, 2026
Location: 

Warszawa, PL, 00-839 Łódź, PL, 90-118 Poznań, WP, PL, 61-569 Kraków, PL, 30-302

Working place:  Hybrid

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 

We are GFT Poland. WE KNOW how to tackle complex issues with innovative approach to deliver the highest value. Our reputation has been built around one simple rule: we do not overpromise, WE DELIVER. We deliver to our employees, clients and partners. WE GROW as you grow, so investing in you is our business strategy. Caring for each other is our priority. WE CARE who you are, what you need, how you feel. WE CARE to smile, have fun and develop as human beings. 

Why Choose GFT?

  • A culture of top performance
  • Deep tech IT engineering & consulting 
  • 1200 skilled & top-class experts
  • 77% of the team are regular/senior 
  • Products that contribute to a sustainable world
  • Competitive salary and benefits 
  • Ambitious projects, trainings and tools you need to flourish
  • Google Cloud Partner of the Year - for going above and beyond for customers

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