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For Companies At a Glance
- Tasks: Analyse data to identify trends and optimise decision-making for business strategies.
- Company: Join Safestore, the UK's largest self-storage group, known for its supportive culture.
- Benefits: Enjoy hybrid working, career development opportunities, and a collaborative environment.
- Why this job: Make a real impact with data while working in a top-rated company for employee engagement.
- Qualifications: Must have a Master's in Physics or Maths and skills in SQL, R, or Python.
- Other info: Driving licence required; offices are not accessible by public transport.
The predicted salary is between 28800 - 48000 £ per year.
Location: Sheffield, South Yorkshire, United Kingdom
Job Category: Other
EU work permit required: Yes
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.
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 believe engaged colleagues, who feel valued, are the foundation of our customer-focused culture. We know our people as individuals, show respect for each other, and enable everyone to bring their full, unique selves to work. We are proud to have received the 'Investors in People’ Platinum accreditation in 2021, placing us in the top 2% of UK organizations.
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 support business decisions and design algorithms to improve pricing or operational strategies.
- Develop a strong understanding of relevant internal and external data sources.
- Collaborate with departments and stakeholders 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 use statistics to find answers.
- Solid understanding of statistics (probability, distributions, hypothesis testing, regression) and practical experience applying these concepts.
- Experience with 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 with modeling techniques like time series forecasting, segmentation/clustering, anomaly detection.
If interested, please apply through our Recruitment Partner, Datatech Analytics.
Graduate Data Scientist employer: JR United Kingdom
Contact Detail:
JR United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Data Scientist
✨Tip Number 1
Familiarise yourself with the company, Safestore, and their business model. Understanding how they operate and their customer base will help you tailor your discussions during interviews and demonstrate your genuine interest in the role.
✨Tip Number 2
Brush up on your SQL and statistical analysis skills. Since the role requires querying data and performing statistical analysis, being able to showcase your proficiency in these areas during technical discussions can set you apart from other candidates.
✨Tip Number 3
Prepare examples of past projects or experiences where you've used data to drive decisions. Being able to articulate how you've applied your skills in real-world scenarios will demonstrate your capability and readiness for the role.
✨Tip Number 4
Network with current or former employees of Safestore or similar companies. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your application process.
We think you need these skills to ace Graduate Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the job description. Emphasise your Master's degree in Physics or Maths, and any experience with SQL, R, or Python.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for data science and how your background makes you a great fit for the role. Mention specific projects or experiences that demonstrate your analytical skills and ability to collaborate.
Showcase Relevant Projects: If you've worked on any data analysis projects, include them in your application. Describe the tools you used, the challenges you faced, and the outcomes of your work to illustrate your practical experience.
Highlight Communication Skills: Since excellent communication is key for this role, provide examples of how you've effectively communicated complex data insights to non-technical stakeholders in the past.
How to prepare for a job interview at JR United Kingdom
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in SQL, R, and Python during the interview. Be prepared to discuss specific projects where you applied these skills, as well as any statistical techniques you've used, such as regression or hypothesis testing.
✨Understand the Business Context
Demonstrate your ability to interpret business questions and how data can provide solutions. Research Safestore and think about how data science can optimise their operations or pricing strategies, showing that you can connect your technical skills to real-world applications.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems using data analysis. Practice explaining your thought process clearly and logically, as this will showcase your analytical thinking and communication skills, which are crucial for the role.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the company's data strategy or team dynamics. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values.
