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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.
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