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4 дня назад

Associate Data Scientist - Intern (Fintech)

42 500GBP
Формат работы
hybrid
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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TL;DR
Associate Data Scientist - Intern (Fintech): Building data analyses, predictive solutions, models, and visualisations for financial products and customer-focused app improvements with an accent on Python, SQL, and real-time analytics. Focus on experimenting with data techniques, transforming raw data into customer insights, and solving product challenges during a 12-week internship.

Location: London, UK; hybrid, with 2 days per week in the office

Salary: £42,500 pro rata

Company

hirify.global is a UK digital bank offering personal and business accounts, savings, investments, pensions, credit cards, and other financial products.

What you will do

  • Work on a real customer-focused data project during a minimum 12-week summer internship.
  • Learn how commercial products use data to unlock value for customers.
  • Experiment with data techniques to solve challenging problems.
  • Transform raw data into customer insights through models, analysis, and visualisations.
  • Build foundational knowledge for new products and features.

Requirements

  • Currently completing a STEM or Computer Science degree and graduating in 2028.
  • Exposure to programming, strong problem-solving skills, and willingness to learn new technologies.
  • Availability for full-time work for at least 12 weeks between June and September 2027.
  • Must have unrestricted right to work in the UK for the full internship and must not require visa sponsorship for a potential permanent role.
  • Must be able to work from the London office on a hybrid basis.

Culture & Benefits

  • Flexible full-time working hours.
  • Top-spec MacBook provided for the internship.
  • Knowledge-sharing sessions with the data team and wider discipline.
  • Team and company-wide socials and events.
  • Lunch provided twice a week.

Hiring process

  • Submit an application with short-answer questions.
  • Complete a programming and problem-solving exercise if shortlisted.
  • Attend final interviews with members of the data team via Google Meet.

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