Data Science Intern — Insight‑Driven Consulting Projects

Stripe Partners Ltd

Greater London

Hybrid

GBP 13,000 - 20,000

Full time

11 days ago

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Job summary

Stripe Partners Ltd in London offers a Data Science internship that provides exposure to consulting on technology-driven challenges within large organisations. You will work on insight-driven projects, applying quantitative methods to real client questions and gaining hands-on experience in a collaborative mentor-driven environment.

The 4-month, paid internship is full-time with a hybrid work model; you will be able to access the London office regularly and must have the right to work in the UK.

Qualifications

  • Data science or quantitative academic background
  • Experience with NLP methods, big data, or surveys
  • Proficient in Python or R; basic cloud/git knowledge
  • Strong analytical and communication skills

Responsibilities

  • Design studies and data-driven approaches to answer client questions
  • Draft surveys and analyse unstructured data
  • Conduct data analysis in Python or R and build models
  • Visualise results and contribute to reports
  • Support internal research directions and client meetings
  • Assist in managing calendars and project timelines

Skills

Data science
NLP methods
R/Python
Statistical modelling
Analytical skills
Problem solving
Time management
Communication
Presentation tools

Education

Quantitative degree
Data science background
Equivalent qualification

Tools

Python
R
AWS
Git
Google Slides
Data viz

Job description

Stripe Partners Ltd in London offers a Data Science internship that provides exposure to consulting on technology-driven challenges within large organisations. You will work on insight-driven projects, applying quantitative methods to real client questions and gaining hands-on experience in a collaborative mentor-driven environment.

The 4-month, paid internship is full-time with a hybrid work model; you will be able to access the London office regularly and must have the right to work in the UK.

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