Make a difference in the financial life of millions of people: At Erste Digital you are co-creating the digital future, in which better financial health is possible. #believeinyourself

We are part of Erste Group – the largest banking group in Central and Eastern Europe with more than 2,500 branches and over 45,000 employees. Our more than 2,000 IT experts and enthusiasts are the bank's Digital Muscle.

As a Data Scientist, you closely collaborate with colleagues from business and IT to design data-driven solutions that will help improve our company. We will rely on you to build machine learning (ML) models or other solutions to identify patterns in our data and extract valuable business insights. In this role, you should be highly analytical with a knack for math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for modeling and algorithms.

What to do:

• You deliver typical data science tasks in data driven projects, where development of predictive models and learning from data measurably supports our internal business customers (Retail, Corporate, Data Quality, etc.) in areas such as improved customer experience, sales, churn prevention, transaction classification, text classification, …
• You are ready to deliver in team and independently, proactively searching for assistance of team and partner departments to deliver on time
• You show genuine curiosity and thinking about how to bring innovative problem solutions into practical application in banking industry
• You deliver and support in all phases of the full Data Science process, but with different level of expectations and time allocation, where data and feature engineering, as well as search for optimal parameters within chosen model class take the most of time
• You are open to learn how to serve banking business owners, even in international projects, through strong interest in data and technology
  

Requirements

You check these boxes:

• Bachelor’s or Masters degree with a focus on quantitative disciplines
  
• Minimum of 7 years practical experience as a Data Scientist
  
• Experience in leading small to medium sized teams in Data Science projects
• Experience in supervising other Data Scientists
• Good understanding of statistical methods and common machine learning algorithms
• Good know-how in data visualization
• Experience in development and implementation of generative AI solutions (prompt-engineering techniques for Large Language Models, training of LLMs) is a plus
• Good knowledge of Python, Spark and SQL (with practical experience). Hands-on experience with Databricks is a plus.
• Basic understanding of the banking business
• Language skills: English full professional proficiency, German is a plus

Why you will like us:

• Possibility to benefit and learn from our international, talented and passionate community at Erste
• Interest groups and clubs: Take part in discussions and get involved in projects. Numerous interest groups invite you to engage with a topic
• Health Care – Taking care of your health is important. That’s why we contribute to your above standard medical examination and provide a helpline in case of hard lifetime situations. You also receive a salary compensation during sick leave
• Work-Life-Balance – Sabbatical, paternity leave, contribution to marriage & childbirth, 4 days of extra holiday per year, contribution to the 3rd pillar and MultiSport card. This is how we promote a balance between work, leisure, and family
• Employee Referral Program – Become a talent scout for career opportunities in IT. We are rewarding every successful referral for Erste Digital
• A competitive and performance-related salary dependent on your professional and personal qualifications is granted - we are obliged by law to quote the minimum wage of EUR 3000,- gross per month for this full time position. But this is just a formality, we are more than happy to discuss your actual expectations.

The way we are:

Erste Group considers the diversity of its employees as key to innovation and success. As employer we are proud to offer everyone equal chances, irrespective of age, skin colour, religious belief, gender, sexual orientation or origin.