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Понятная AI-инициатива по обработке документов в крупном банке дает опыт прикладного ML, хотя стек и детали развития проекта раскрыты ограниченно.
Актуальные технологии
AI в реальных процессах
?Строгие стандарты
?Мало деталей о стеке
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Scientist (AI) (Python/SQL): Developing machine learning solutions for automatic document classification and extraction across banking automation use cases with an accent on end-to-end data science delivery, AI governance, and business process improvement. Focus on analyzing data pipelines, advising stakeholders on AI-supported processes, and validating models in a governed cloud environment.
Location: Hybrid work on Wersalska 6 Street in Łódź, Poland
Company
Commerzbank is an international commercial bank transforming its operations into a digital enterprise, with branches and offices in almost 50 countries.
What you will do
Design, develop, test, and validate machine learning models for data-driven applications and services.
Analyze data and pipelines to identify issues, support stakeholders, and improve decision-making for AI solutions.
Work with customers and interface partners to understand business challenges and apply technical expertise to improve AI-supported processes.
Explore advanced data-driven solutions and assess their potential to improve models, processes, and business outcomes.
Ensure compliance with the bank’s AI governance framework and support activities related to new guidelines.
Use approved bank platforms and cloud technologies in line with internal standards, collaborating in a cross-functional agile team across business, technology, and operations.
Requirements
High proficiency in Python and SQL.
Experience with machine learning.
Knowledge of the data science development cycle.
Ability to advise on end-to-end business processes, communicate clearly with stakeholders, and manage expectations.
Nice to have
GCP knowledge.
Experience in data engineering and data quality.
Knowledge of banking processes.
German language skills.
Culture & Benefits
Full-time employment with flexible working hours.
Employee development plans and life insurance.
Inter-locational and international teamwork using agile methodologies.
Integration events and additional employee benefits.
Hiring process
Add the provided personal-data processing consent clause to the application, covering the current recruitment process and future recruitment for six months.
Confirm that the information clause has been read and that the supplied personal data is voluntary and truthful.
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