Data Science & GenAI Trainer (f/m/x)

• Design and deliver tailored courses and learning experiences on various topics in AI, Machine Learning, and Data Science.
• Develop hands-on coding examples and practical solution blueprints that help learners apply concepts directly to real banking use cases.
• Create clear, high quality and engaging learning materials, including notebooks, course plans, online course modules (in SCORM format), exercises, and assessments that make complex topics accessible.
• Coach and mentor learners – from beginners to advanced practitioners – through their upskilling journey, supporting them with technical questions and guidance.
• Research, explore, and experiment with emerging AI technologies, evaluating their potential for integrating into our training programs and the broader banking group initiatives.
• Collaborate with data scientists and subject matter experts across the group to ensure training content reflects current best practices and the latest innovations.
• Contribute to a library of reusable GenAI and ML solution guides, helping scale expertise across the entire region.
• Continuously improve training programs by collecting feedback, analyzing outcomes, and iterating on content and delivery methods.
• Use your communication skills to advocate for new Advanced Analytics and AI strategies across RBI communities, helping to foster knowledge sharing and build an engaged, international learning culture. 

Your core competencies:

• Several years of professional experience (typically 4–7 years) in Data Science, Machine Learning, or AI, with hands‑on exposure across classical ML, NLP, and Generative AI.
• Ability to make complex AI topics understandable and engaging for both technical and non‑technical audiences, through workshops, coaching, and hands‑on support.
• Experience designing and delivering practical training formats that are relevant, accessible, and valuable across different skill levels.
• Proficiency in Python and regular use of common ML and AI frameworks (e.g. pandas, scikit‑learn, TensorFlow/PyTorch, Hugging Face, LangChain, LlamaIndex).
• Practical experience working with LLM‑based solutions, including prompting approaches, RAG pipelines, and agent‑based architectures.
• Clear and engaging communication style, with the ability to bring structure, clarity, and momentum to complex subjects. Professional working proficiency in English is required.

Nice To Have:

• Experience applying adult‑learning or andragogy principles in training or enablement contexts.
• Familiarity with cloud environments (Azure and/or AWS) and exposure to DevOps/MLOps concepts; experience with Databricks is an advantage.
• German language skills. 

What´s in it for you:

• Flexible work week: Flexible hours, work-from-home options from Austria, and 30 days/year remote work from any EU country.
• Global community: 75+ nationalities, English as the company language, and work permit support. Find out more about international applications here.  
• Career growth: We believe in continuous learning and proactive career development. Take on challenging work that stretches your abilities, attend trainings, and use new technologies to make a lasting impact.
• Stay healthy: Subsidized canteen, well-being programs, check-ups, and sport allowances.
• Save money: Discounts, exclusive banking terms, and a heavily subsidized public transport pass.
• Family support: Child allowances, gender-neutral parental leave, bilingual company kindergarten, and holiday childcare.
• Competitive salary: Starting at EUR 67.400 gross p.a. including overtime, with market-compliant overpayment based on experience and qualifications. We are happy to discuss your actual salary in person.