Data Scientist - GenAI & Machine Learning (all humans)
Data Scientist at Erste Digital, the IT arm of Erste Group bank, building predictive ML models and Generative AI applications (LLMs, RAG, AI agents) for internal banking use cases like churn prevention, document processing and knowledge assistants, using Python, Spark, SQL and Databricks.
- Compensation
- €51.1K / yr
- Location
- Wien, Austria
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Data science
- Posted
Skills
Must have
- Bachelor's or Master's degree with a focus on quantitative disciplines
- Minimum 2 years practical experience as a Data Scientist
- Good understanding of statistical methods and common machine learning algorithms
- Hands-on experience developing applications using the RAG pattern (chunking, embedding, querying an LLM)
- Good practical knowledge of Python, Spark and SQL
- Basic understanding of the banking business
- English full professional proficiency
Nice to have
- Hands-on experience with Databricks
Full description
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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
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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.
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What to do:
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You deliver Data Science and Generative AI solutions that create measurable value for our internal business customers across Retail, Corporate, Operations, Data Quality and other areas. Typical use cases include customer experience, sales optimization, churn prevention, transaction classification, text and document processing, knowledge assistants and AI-powered automation.
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You design, develop and evaluate predictive models, machine learning solutions and GenAI applications, including solutions based on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents and other emerging AI technologies.
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You work across the full Data Science and AI lifecycle – from understanding the business problem and exploring data to data preparation, feature engineering, model development, experimentation, evaluation, deployment and continuous improvement.
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You apply appropriate evaluation methods and guardrails to ensure that AI and GenAI solutions are accurate, reliable, explainable and suitable for use in a regulated banking environment.
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You collaborate closely with business experts, Data Engineers, Software Engineers, AI Platform teams and other partner departments to bring prototypes into robust, scalable and production-ready solutions.
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You work effectively both independently and as part of a team, proactively involving colleagues and subject-matter experts whenever needed to deliver high-quality results on time.
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You demonstrate genuine curiosity and continuously explore how developments in Machine Learning, Generative AI and emerging AI technologies can be translated into practical solutions for the banking industry.
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You are willing to continuously learn and develop your skills while working with business owners and multidisciplinary teams, including in international projects across Erste Group.
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You combine a strong interest in data, technology and business problems and are able to translate between technical possibilities and tangible business outcomes.