Data Science Intern: Build Pipelines & Real-World Analytics

Opbox Inc.; Greater London; On-site; GBP 25,000 - 31,000; Full time

Benefits offered by this job

London Living Wage

Office in Peckham

Flexible hours

Job summary

Opbox Inc. is seeking a data science intern to join our growing delivery team in London. You'll work on data pipelines, build data warehouses, and deploy ML and AI models for real clients, mentored by experienced founders and engineers.

From day one you’ll take on meaningful responsibilities—creating analyses, validating data quality, and presenting insights in client calls. This paid internship (London Living Wage) aims to lead to a full-time role as you gain production experience.

Qualifications

• Studied maths, statistics, physics, engineering, computer science or similar.
• Some Python or R experience (even from coursework).
• Taken a statistics or data analysis module.
• Built something with code before.
• Curious about how businesses work.

Responsibilities

• Build data pipelines to handle messy client data (CSV files with weird formats, missing values).
• Write validation code that catches data quality issues before they become problems.
• Create analyses for paying customers—market insights, revenue forecasting.
• Work directly with client data from companies across different industries.
• Participate in client calls and see how your work influences business decisions.

Skills

Python

Data analysis

Data pipelines

SQL

Git

Education

Maths/Statistics/CS background

Tools

Python

Pandas

SQL

Jupyter notebooks

Data validation tools

Git workflows

Job description

Opbox Inc. is seeking a data science intern to join our growing delivery team in London. You'll work on data pipelines, build data warehouses, and deploy ML and AI models for real clients, mentored by experienced founders and engineers.

From day one you’ll take on meaningful responsibilities—creating analyses, validating data quality, and presenting insights in client calls. This paid internship (London Living Wage) aims to lead to a full-time role as you gain production experience.