Informacje o stanowisku

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.

Why join GFT?

You will work with and learn from top IT experts. You will join a crew of experienced engineers: 60% of our employees are senior level.

Interested in the cloud? You will enjoy our full support in developing your skills: training programs, certifications and our internal community of experts. We have strong partnerships with top cloud providers: Google, Amazon and Microsoft - we are number one in Poland in numbers of GCP certificates. Apart from GCP, you can also develop in AWS or Azure.

We are focused on development and knowledge sharing. Internal expert communities provide a comfortable environment where you can develop your skillset in areas such as blockchain, Big Data, cloud computing or artificial intelligence.  

You will work in a stable company (32 years on the market) in demanding and challenging projects for the biggest financial institutions in the world.

We offer you:

• Hybrid work mode from one of our locations — 2 days per week on-site (Łódź, Warsaw, Kraków, Poznań, or Wrocław)
  
• 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

• Minimum 5–6 years of commercial experience in similar rolesVery 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 with Spark (Big Data / Streaming)
• Data analysis skills including business and functional design
• English level B2+

Experience in

• Machine Learning (Supervised & Unsupervised Learning)
• Large Language Models (LLM)
• Generative Models (GANs, Variational Autoencoders – VAE)

Nice to have 

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

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.

Why join GFT?

You will work with and learn from top IT experts. You will join a crew of experienced engineers: 60% of our employees are senior level.

Interested in the cloud? You will enjoy our full support in developing your skills: training programs, certifications and our internal community of experts. We have strong partnerships with top cloud providers: Google, Amazon and Microsoft - we are number one in Poland in numbers of GCP certificates. Apart from GCP, you can also develop in AWS or Azure.

We are focused on development and knowledge sharing. Internal expert communities provide a comfortable environment where you can develop your skillset in areas such as blockchain, Big Data, cloud computing or artificial intelligence.  

You will work in a stable company (32 years on the market) in demanding and challenging projects for the biggest financial institutions in the world.

We offer you:

• Hybrid work mode from one of our locations — 2 days per week on-site (Łódź, Warsaw, Kraków, Poznań, or Wrocław)
  
• 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

,[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) Requirements: Python, PySpark, Spark, Big data, alertic models, Data pipelines, agentic AI, AI agent, LLM, ML, GANs, vae, Data science, Data engineering Additionally: Home office, Knowledge sharing, Life insurance, Sport subscription, Training budget, Private healthcare, International projects, Integration events, Free coffee, Playroom, Free snacks, Free beverages, In-house trainings, In-house hack days, Modern office, Free fruits.

Praca Łódź

Łódź - Oferty pracy w okolicznych lokalizacjach