Graduate Data Scientist

JR United Kingdom; Preston; Hybrid; GBP 28,000 - 35,000; Full time

Job summary

A leading company in the self-storage industry is seeking a Graduate Data Scientist to leverage data for optimizing business strategies. The role offers hybrid working, innovative projects, and the ability to impact key decisions. Candidates should have a Master's in a quantitative field and possess strong analytical skills.

Qualifications

• Must have a Master's degree in a quantitative subject.
• Ability to query data and apply statistical methods.
• Experience with SQL and programming in R, SQL, Python or similar.

Responsibilities

• Perform statistical analysis to optimize pricing and commercial strategies.
• Deliver insights for business decisions and develop algorithms.
• Design internal analytics and experimentation tools.

Skills

Data Interpretation

Statistical Analysis

SQL

R

Python

Communication

Education

Master's degree in Physics or Mathematics

Tools

Statistical Software

Job description

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Graduate Data Scientist, Preston, Lancashire

Location: Preston, Lancashire, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Views:

3

Posted:

06.06.2025

Expiry Date:

21.07.2025

Job Description:

Data Science Analysts (Graduates 2024 or 2025) MSc in Physics or Maths preferred.

Hybrid working – 3 days in Borehamwood. Must have a driving license as offices are not accessible by public transport.

Job Reference J12966

This client cannot consider any visas, including Post Graduate Work Visas.

Safestore is the UK’s largest self-storage group, part of the FTSE 250. We value engaged colleagues who feel appreciated and respected, fostering a customer-focused culture. In 2021, we received the 'Investors in People’ Platinum accreditation, placing us in the top 2% of UK organizations.

“Unrivalled opportunity for career development and to positively influence the business.”

Key Accountabilities

• Partner with support departments to discover and deliver projects using data and statistics to identify trends and optimize decision-making.
• Perform statistical analysis on our customer base to formulate pricing or commercial strategies to optimize revenue.
• Deliver insights to inform business decisions and design algorithms to improve pricing or operational strategies.
• Develop a thorough understanding of relevant internal and external data sources.
• Collaborate with other departments to develop and promote best practices in analytics and experimentation.
• Design and build internal self-service analytics and experimentation tools.

Experience & Skills Required

• A Master’s degree in a quantitative subject, ideally Physics or Mathematics.
• Ability to interpret commercial questions, query data (SQL), and apply statistical methods.
• Understanding of statistics (probability distributions, sampling, hypothesis testing, regression) with practical application experience.
• Experience using statistical software and programming in R, SQL, Python, or similar.
• Excellent communication skills to understand business needs, deliver findings, and foster collaboration.

Preferred Requirements

• Experience identifying opportunities for product or business improvements and measuring success.
• Experience applying modelling techniques such as time series forecasting, segmentation/clustering, anomaly detection.

If this opportunity interests you, please apply through our Recruitment Partner, Datatech Analytics.