обновлено 3 дня назад
Data Scientist, L30 (Fintech)
55 000 - 75 000GBP
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist, L30 (Fintech): Building data-driven product insights and experimentation capabilities for a UK digital bank with an accent on quantitative analysis, user engagement, and lifetime value modeling. Focus on designing large-scale A/B experiments, measuring product impact, and collaborating with finance, engineering, and product teams to improve business decisions.
Location: Cardiff, London, or remote within the UK; distributed working within the UK includes ad hoc meetings in London. Relocation to the UK is supported.
Salary: £55,000–£75,000 per year, plus performance-linked incentive awards and benefits.
Company
is a UK digital bank offering personal and business accounts, savings, investments, pensions, credit products, and financial education.
What you will do
- Apply quantitative analysis, data mining, and data presentation to understand user behavior and inform product strategy.
- Help product teams define meaningful metrics and run A/B experiments to improve products.
- Develop a unified understanding of customer lifetime value and the effect of product features on profitability with the finance team.
- Collaborate with engineers to ensure the right data is collected for relevant business insights.
- Work in a cross-functional product squad with engineers, designers, marketers, and product managers.
Requirements
- Solid grounding in SQL.
- Experience conducting large-scale A/B experiments.
- Commercial mindset with the ability to connect analysis to business outcomes.
- Ability to work hands-on while thinking strategically and proactively identifying issues and opportunities.
- Team-oriented approach and willingness to contribute across data science product areas.
- Python experience is preferred.
Culture & Benefits
- Visa sponsorship is available.
- Flexible working hours and distributed working within the UK.
- Learning budget of £1,000 per year for books, courses, and conferences.
- Performance-linked incentive awards and additional benefits.
- Part-time arrangements may be available where possible.
Hiring process
- The process typically takes 2–3 weeks and can be adjusted around candidate availability.
- Applicants speak with the recruitment team and meet data science team members across different product areas.
- Team placement is determined after the interview process based on skills and aspirations.
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