data scientist

You

& the opportunity for improvement

& the opportunity to test yourself in several areas

& the opportunity for an international, corporate environment

& the opportunity to make your opinion count

& the opportunity for an exciting workplace

This is K&H. A leading financial institution with 3,800 employees who serve the 21-century clients’ needs in a customised, proactive way with innovative banking, insurance solutions & even beyond. Because our customers can only be satisfied if our employees can find satisfaction in what they are really good at.

You & K&H

Role Overview: As a crucial member of our Data Science team, you'll be at the forefront of our strategic initiatives, developing and implementing AI and machine learning solutions that drive business transformation and operational excellence.

Key Responsibilities:

• Develop and deploy AI/ML solutions in collaboration with business and IT teams and under the guidance of senior colleagues
• Stay current with AI, machine learning, and big data trends
• Strengthen team knowledge and technological/data foundations
• Foster a data-driven culture across the organization
  
  
  
  
  

Join our team!

What we offer:

• Collaboration with an exceptional team of data science professionals in Hungary and internationally across the KBC Group
• Opportunity to work on meaningful, challenging business problems using advanced tools and technologies
• Work with extensive corporate data and computational resources
• Guidance to help you grow and maximize your positive impact
• We value drive and motivation, and welcome applications from candidates with varying levels of experience in data science within a business context.
  
  
  

what you need for success:

Ideal Candidate Profile:

• Strong business acumen, particularly in banking concepts Proficiency in analytical SQL and navigating complex corporate databases
• Good command of machine learning and use of generative AI
• Expertise in Python-based data science stack (Spark, Pandas, Polars, Scikit-learn, SHAP, MLFlow)
• Excellent communication skills in English and Hungarian
  
  
  

Preferred Qualifications:

• Master's or Ph.D. in Econometrics, Actuarial Sciences, Mathematics, Applied Sciences, Computer Sciences, Statistics, Physics, or related fields
• Experience with:
  
• Apache Spark
• AWS and its specific ML/AI services (e.g., SageMaker, Bedrock)
• Building and deploying predictive models and AI solutions into business processes (in the area of marketing, risk, operational efficiency)