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11 дней назад

Data Scientist (KYC)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Romania
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 (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

hirify.global 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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