Graduate Data Scientist

WH Smith PLC; London; Hybrid; GBP 150,000 - 200,000; Full time

Job summary

A leading retail group in London is seeking a Graduate Data Scientist to uncover insights that drive business decisions. You will work with various teams to convert raw data into actionable insights using tools like Python and SQL. The ideal candidate has a recent degree in a quantitative field, strong analytical skills, and a curiosity about retail. The role offers mentorship, hybrid work, and excellent benefits.

Benefits

Hands-on experience

Mentorship from experienced Data Scientists

Hybrid working and flexible hours

Staff discount

Pension

Qualifications

• A recent degree (2024 or 2025) in a quantitative field.
• Strong analytical and problem-solving skills.
• Exposure to data tools/languages like Python, R, or SQL.
• Genuine curiosity about retail and business.
• Good communication skills.

Responsibilities

• Help uncover insights influencing business decisions.
• Turn raw data into actionable insights using data tools.
• Work closely with teams across the business.

Skills

Analytical skills

Problem-solving skills

Curiosity about retail and business

Communication skills

Exposure to Python

Exposure to SQL

Education

Recent degree in a quantitative field

Tools

Python

R

SQL

Power BI

Tableau

Job description

Job Title: Graduate Data Scientist; Location: WHSmith Head Office, Aldgate (3 days a week in the office); Salary: Competitive + Benefits.

About WHSmith

With over 230 years of history, WHSmith is a household name and a leading retail group with a strong presence on the high street and in travel locations across the UK and beyond. Innovation is at the heart of what we do - and data is central to driving our next chapter of growth.

What You'll Do

As a Graduate Data Scientist, you'll help uncover insights that influence real business decisions across areas like:

• Product performance & customer behaviour
• Supply chain optimisation
• Pricing strategy
• Store performance

You’ll work closely with teams across the business, turning raw data into actionable insights using tools like Python, SQL, and modern data platforms. You don't need years of experience - just the right mindset and a solid academic foundation.

Essential

• A recent degree (2024 or 2025) in a quantitative field (e.g. Data Science, Computer Science, Maths, Statistics, Economics, or similar)
• Strong analytical and problem-solving skills
• Exposure to data tools/languages like Python, R, or SQL (projects or coursework count!)
• A genuine curiosity about retail, business, and how data drives decision-making
• Good communication skills and a willingness to learn

Desirable (but not required)

• Experience with data visualisation tools (e.g. Power BI, Tableau)
• Knowledge of machine learning concepts or statistical modelling

What You'll Get

• Hands-on experience with real-world data and business challenges
• Mentorship from experienced Data Scientists and Analysts
• Hybrid working and flexible hours
• A clear development path and support in learning new skills
• Staff discount, pension, and other great perks

Apply Now

Whether you've just finished uni or are about to graduate - if you love data and want to make an impact in a fast-moving business, we want to hear from you!