4 дня назад
Associate Data Scientist - Intern (Fintech)
42 500GBP
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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