Data Scientist for George (all humans)

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.

Almost 10 million people across Europe organize their personal finances with George. Where design meets technology, George stands out on an open platform. We invite you to develop this platform with us into the next dimension. We achieve this by empowering people to understand, manage and, last but not least, enjoy one of their most personal things: their money. Join us in our agile environment and make banking simple, intelligent and personal again!

What to do:

As a Data Scientist, working with central squads and local digital teams in business and IT, you will build data science products and contribute to bringing George to the next level. You are eager to work with data, models, new technologies and value privacy and data protection principles. You thrive in a dynamic working environment where agile is not only a mindset, but also a way of working and living.

Requirements

You check these boxes:

Responsibilities:

• Development of machine learning algorithms and models to address business challenges and improve product performance.
• Collaborate with data engineers, software developers, and business leaders to understand requirements and design tailored solutions to meet complex business challenges.
• Implement machine learning pipelines and workflows for feature engineering, model training, and evaluation.
• Pioneer and explore novel data science methodologies, tools, and approaches to address unique challenges.
• Stay updated with the latest advancements in machine learning, and apply them to improve our practices and solutions.
• Communicate technical concepts and findings to both technical and non-technical audiences.

Qualifications:

• MS/PhD in a quantitative discipline such as Statistics, Data Science, Mathematics, Physics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
• Exceptional problem-solving abilities with experience in designing and implementing complex data science solutions.
• 5+ years of experience using data science to solve business problems, with proficient Python coding skills and expertise in statistical analysis.
• Experience with big data tools (e.g. Spark) and MLOps practices, including model versioning, deployment, and monitoring.
• Experience with financial data and applications
• Experience with deep learning, LLMs, NLP and time-series modeling

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.