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7 дней назад

Data Scientist - GenAI & Machine Learning

51 134€
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
c1
Страна
Austria
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Scientist - GenAI & Machine Learning (AI/banking): Building predictive models, machine learning solutions, and GenAI applications for internal banking business customers with an accent on LLMs, RAG, AI agents, and regulated-environment guardrails. Focus on preparing data, engineering features, evaluating models, and deploying scalable production-ready solutions with Python, Spark, and SQL.

Location: Vienna, Austria. Full-time, onsite role.

Salary: minimum EUR 51,134 gross per year under the applicable collective agreement; actual salary depends on qualifications and experience.

Company

hirify.global is the technology organization of Erste Group, a major banking group in Central and Eastern Europe with more than 2,000 IT experts.

What you will do

  • Deliver Data Science and Generative AI solutions that create measurable value for internal business customers across Retail, Corporate, Operations, Data Quality, and other banking areas.
  • Design, develop, and evaluate predictive models, machine learning solutions, and GenAI applications using LLMs, RAG, AI agents, and emerging AI technologies.
  • Manage the full Data Science and AI lifecycle, including business-problem definition, data preparation, feature engineering, experimentation, evaluation, deployment, and continuous improvement.
  • Apply evaluation methods and guardrails to make AI solutions accurate, reliable, explainable, and suitable for a regulated banking environment.
  • Collaborate with business experts, Data Engineers, Software Engineers, AI Platform teams, and other departments to deliver robust, scalable, production-ready solutions.
  • Translate technical possibilities into tangible business outcomes and contribute to international Erste Group projects.

Requirements

  • Bachelor’s or Master’s degree in a quantitative discipline.
  • At least 2 years of practical experience as a Data Scientist.
  • Good understanding of statistical methods and common machine learning algorithms.
  • Hands-on experience designing and developing applications using the Retrieval-Augmented Generation pattern, including chunking, embedding, and querying an LLM.
  • Good practical knowledge of Python, Spark, and SQL.
  • Basic understanding of the banking business.
  • Full professional proficiency in English.

Nice to have

  • Hands-on experience with Databricks.

Culture & Benefits

  • Trust-based working hours and an international community of colleagues.
  • Learning and development opportunities, interest groups, clubs, and events.
  • Health Centre at Erste Campus with medical services during working hours.
  • Employee benefits covering financial services, insurance, supermarkets, clothing stores, and other services.
  • Employee Share Program and Employee Referral Program.
  • Equal opportunities regardless of age, skin colour, religious belief, gender, sexual orientation, or origin.

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