Назад
Company hidden
3 дня назад

Machine Learning Engineer Intern (Finance)

1 500€
Формат работы
hybrid
Тип работы
fulltime
Грейд
trainee
Английский
c1
Страна
Italy
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Machine Learning Engineer Intern (Finance): Building an interactive dashboard to compute the profitability and assigned risk of a finance product, while supporting machine learning model development across the bank with an accent on Python, data handling, and model lifecycle work. Focus on training, deploying, and monitoring models, developing data-access tools, and solving business and risk analysis problems.

Location: Milan, Italy (hybrid)

Salary: €1,500 per month

Company

hirify.global is a bankhirify.global organization applyhirify.global advanced analytics and machine learnhirify.global across business, risk, retail, and corporate bankhirify.global.

What you will do

  • Build and maintain a robust codebase supporthirify.global machine learnhirify.global model creation.
  • Train, deploy, and monitor machine learnhirify.global models for different business needs.
  • Develop an interactive dashboard for calculathirify.global the profitability and assigned risk of a finance product.
  • Conduct ad hoc data analyses and develop tools that improve data accessibility.
  • Collaborate with stakeholders across business, risk, retail, and corporate bankhirify.global.

Requirements

  • At least 2 years of practical experience with Python or a similar programmhirify.global language.
  • Knowledge of object-oriented programmhirify.global and Git workflows.
  • Experience with CI/CD pipelines and DevOps practices.
  • Solid data-handlhirify.global skills.
  • Fluent written and spoken English required.
  • Strong communication skills and the ability to work independently and collaboratively.

Nice to have

  • Personal public projects on GitHub, Azure, or similar platforms.
  • Familiarity with machine learnhirify.global libraries and frameworks such as scikit-learn.
  • Experience with credit decision models, business models such as churn or propensity models, or clusterhirify.global techniques.

Culture & Benefits

  • Hybrid work arrangement in Milan.
  • Inclusive environment supporthirify.global diversity, equity, inclusion, and professional development.
  • Opportunity to develop a thesis on the finance-product profitability and risk dashboard.
  • Work with stakeholders across multiple areas of bankhirify.global.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →