11 дней назад
Data Scientist (KYC)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (KYC) (Machine Learning/Python): Developing, validating, and documenting machine-learning-based solutions for banking analytics and fraud detection with an accent on model performance, governance, and production-ready pipelines. Focus on building supervised and unsupervised models, preparing fraud detection solutions for production, and collaborating in a globally distributed team.
Location: Bucharest, Romania — Dacia One; semi-remote work in a globally distributed team
Company
Romania provides software development, data management, risk and compliance, audit, and retail operations services to ING units worldwide.
What you will do
- Scope, develop, validate, and document machine-learning-based solutions for banking analytics products.
- Build fit-for-purpose model pipelines using established best practices and quality standards.
- Evaluate model performance with data scientists and analysts.
- Prepare fraud detection models for production deployment.
- Address ING model governance requirements and contribute to safer banking solutions.
Requirements
- Bachelor’s degree in computer science, mathematics, engineering, econometrics, or a related field.
- 3–5 years of professional experience in data science.
- Good understanding of supervised and unsupervised machine-learning methods.
- Strong Python programming skills and experience with Apache Spark, SQL, and Git.
- Excellent communication and collaboration skills for work in a semi-remote, globally distributed team.
Nice to have
- End-to-end machine-learning project experience, from data extraction through production.
- Experience writing production-ready code and understanding object-oriented programming.
- Proactive, self-steering, curious, and collaborative approach.
- Ability to work effectively in a fast-changing and complex environment.
Culture & Benefits
- Flexible working approach and a highly collaborative environment.
- Constructive feedback and support for continuous learning and development.
- Opportunity to work with ING Analytics on data-driven products and services.
- Exposure to international banking projects and colleagues across ING units worldwide.
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