Data Scientist – Regulatory Compliance AI

2 weeks ago


Kraków, Lesser Poland, Czech Republic ITDS Full time

You're ideal for this role if you have:

  • Holding a university degree in technology, data analytics, or a related field 
  • Demonstrating strong coding skills in Python and SQL 
  • Applying advanced statistical, mathematical, and machine learning techniques 
  • Working with large and complex datasets in distributed systems such as Hadoop 
  • Understanding regulatory compliance and associated risk controls 
  • Visualizing data using tools such as Qlik or Tableau 
  • Building models and analytical products that meet governance standards 
  • Communicating complex findings effectively across diverse audiences 
  • Managing multiple priorities in an agile and evolving environment 
  • Collaborating effectively with cross-functional global teams 

It is a strong plus if you have:

  • Experience with cloud platforms such as GCP, AWS, or Azure 
  • Knowledge of Spark, graph theory, or generative AI techniques 
  • Familiarity with ETL processes, data modeling, and ontology frameworks 
  • Proficiency with collaboration and version control tools (e.g., JIRA, Git, Confluence) 
  • Exposure to regulatory models and internal model risk frameworks 
  • Track record of innovation in analytics or AI-driven compliance projects 
  • Prior work experience in a tier-one financial institution 
  • Capability to work independently while managing stakeholder expectations 
  • Strategic mindset with a focus on delivering business value through technology 
  • Awareness of data privacy regulations and their implications for model use 

Data Scientist – Regulatory Compliance (AI & Analytics)

Join us, and shape the future of regulatory risk management

Kraków - based opportunity with hybrid work model (1 day/week in the office).

As a Data Scientist – Regulatory Compliance (AI & Analytics), you will be working for our client, a leading global financial institution, contributing to the development and deployment of advanced analytics solutions aimed at improving regulatory risk management. You will be supporting initiatives that combine machine learning, artificial intelligence, and data engineering to proactively monitor, identify, and mitigate compliance risks. Collaborating with stakeholders across the organization, you are helping drive data-driven decision-making while continuously improving model performance, governance, and innovation in a dynamic, fast-paced environment.

We offer you:

ITDS Business Consultants is involved in many various, innovative and professional IT projects for international companies in the financial industry in Europe. We offer an environment for professional, ambitious and driven people. The offer includes:

  • Stable and long-term cooperation with very good conditions
  • Enhance your skills and develop your expertise in the financial industry
  • Work on the most strategic projects available in the market
  • Define your career roadmap and develop yourself in the best and fastest possible way by delivering strategic projects for different clients of ITDS over several years
  • Participation in Social Events, training, and work in an international environment
  • Access to an attractive Medical Package
  • Access to Multisport Program

#GETREADY

Internal job ID #7189

You can report violations in accordance with ITDS's Whistleblower Procedure available here.

,[Developing and maintaining machine learning and AI models for regulatory compliance , Writing and optimizing code to apply advanced analytics on complex datasets , Interpreting and visualizing model outputs for both technical and non-technical audiences , Collaborating with analytics teams to share insights and align best practices , Communicating findings and recommendations to internal stakeholders and partners , Creating and delivering fully documented analytical solutions that meet business needs , Monitoring existing models and updating them based on validation results , Promoting data-driven decision-making aligned with long-term objectives , Identifying, monitoring, and mitigating emerging regulatory risks , Supporting audits, model reviews, and regulatory inquiries with analytical evidence ] Requirements: Gen AI, AI, risk management, Machine learning, Data engineering, Audits, Python, SQL, Spark, ETL, Jira, Git, Confluence, Hadoop, Qlik, Tableau, Cloud platform Additionally: Sport subscription, Private healthcare, International projects.

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