Data Scientist – Regulatory Compliance AI & Analytics @ ITDS

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.

You're ideal for this role if you have :

It is a strong plus if you have :

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 :

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.