Data Analytics Summer Intern – Remote & Hybrid

Lendable

Greater London

Hybrid

GBP 43,000 - 58,000

Full time

14 days+
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Benefits offered by this job

Hybrid work
Private health cover
Retirement plan
Office meals
Social events

Job summary

Lendable is seeking a highly capable student for a 10-week internship starting 29th June 2027. The role focuses on applying data analytics to inform lending strategies and pricing decisions in a fast-growing fintech startup.

You will work with data, build models for forecasting and decision-making, and present insights to senior leaders, collaborating with product and tech teams to implement improvements.

Qualifications

  • University student in penultimate year (undergrad, masters or PhD).
  • Must have coding skills in Python or SQL.
  • Strong numerical aptitude and ability to work with complex data sets.
  • Natural curiosity and willingness to dig deep to understand how things work.
  • Startup mindset and eagerness to have real impact.

Responsibilities

  • Use analytical and problem-solving skills to generate key insights from data and drive meaningful change in our strategy.
  • Model data to ground assumptions for the NPV model, e.g. forecast default rates for lending decisions.
  • Use data analytics to drive lending decisions and adjust strategies to market changes.
  • Conduct hypothesis testing and use findings to improve lending strategy, pricing, and fraud detection.
  • Present findings to senior leaders and collaborate with product/tech to implement changes.

Skills

Python
SQL
Analytical mindset
Numbers-loving

Education

Penultimate year student

Job description

Lendable is seeking a highly capable student for a 10-week internship starting 29th June 2027. The role focuses on applying data analytics to inform lending strategies and pricing decisions in a fast-growing fintech startup.

You will work with data, build models for forecasting and decision-making, and present insights to senior leaders, collaborating with product and tech teams to implement improvements.

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