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Graduate Data Scientist, Swindon, Wiltshire
Location: Swindon, Wiltshire, 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 driving licence as offices are not accessible by public transport.
Job Reference: J12966
This client is unable to 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 and foster a respectful, inclusive 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 support decision-making.
* Perform statistical analysis on our customer base to formulate pricing or commercial strategies to optimize revenue.
* Deliver insights to drive business decisions and design algorithms to improve pricing or operational strategies.
* Develop a strong understanding of relevant internal and external data sources.
* Collaborate with other departments to develop 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 business questions, query data (SQL), and apply statistical methods.
* Understanding of statistics (probability, sampling, hypothesis testing, regression) with practical experience.
* Experience with statistical software and programming (R, SQL, Python, etc.) in datasets.
* Excellent communication skills for understanding business needs and collaborating effectively.
Preferred Requirements
* Experience identifying opportunities for product or business improvements and measuring success.
* Experience with modeling techniques like time series forecasting, segmentation, clustering, or anomaly detection.
If interested, please apply through our Recruitment Partner, Datatech Analytics.
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