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Graduate Data Scientist, Luton, Bedfordshire Client: Location: Luton, Bedfordshire, United Kingdom
Job Category: Other
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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 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, unfortunately.
Safestore is the UK’s largest self-storage group and part of the FTSE 250. We believe engaged colleagues who feel valued are the foundation of our customer-focused culture. We know our people as individuals and show respect for each other, enabling everyone to bring their full, unique selves to work. In 2021, we were awarded the 'Investors in People’ Platinum accreditation, placing us in the top 2% of accredited organisations in the UK, and have maintained this accreditation since.
“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 optimise revenue.
Deliver insights to drive 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 and stakeholders 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 business questions, query data (SQL), and apply statistics to find answers.
Solid understanding of statistics (probability distributions, sampling, hypothesis testing, regression) with practical 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 in identifying opportunities for product or business improvements and measuring their success.
Experience applying modeling techniques such as time series forecasting, segmentation/clustering, anomaly detection.
If you find this opportunity appealing, please apply through our Recruitment Partner, Datatech Analytics.
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