Graduate Data Scientist

WHSmith; London; Hybrid; GBP 150,000 - 200,000; Full time

Job summary

A leading retail company in London is looking for a Graduate Data Scientist to kickstart a career in data science. This role involves analyzing product performance, optimizing supply chains, and developing pricing strategies using tools like Python and SQL. Recent graduates with a strong analytical background are encouraged to apply for this exciting opportunity with strong mentorship and flexible working options.

Benefits

Mentorship from experienced Data Scientists

Hybrid working and flexible hours

Staff discount

Pension

Qualifications

• Degree in a quantitative field expected by 2024 or 2025.
• Strong analytical and problem-solving skills required.
• Familiarity with Python, R, or SQL is advantageous.

Responsibilities

• Uncover insights to influence business decisions.
• Work with teams to turn raw data into actionable insights.

Skills

Analytical skills

Problem-solving skills

Exposure to Python

Exposure to SQL

Curiosity about retail

Education

Recent degree in Data Science or related field

Tools

Data visualization tools

Power BI

Tableau

Job description

Overview

Job Title: Graduate Data Scientist

Location: WHSmith Head Office, Aldgate (3 days a week in the office)

Salary: Competitive + Benefits

Kickstart your Data Science career with WHSmith! Are you a recent graduate with a passion for data and a desire to make a real impact in one of the UK’s most iconic retail brands? WHSmith is on the lookout for ambitious, curious, and analytical minds to join our growing finance team as a Graduate Data Scientist.

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!