At a Glance
- Tasks: Analyse data to identify trends and optimise strategies for business decisions.
- Company: Safestore is the UK's largest self-storage group, known for its supportive culture.
- Benefits: Enjoy hybrid working, competitive salary, and career development opportunities.
- Other info: Driving licence needed as offices are not accessible by public transport.
- Why this job: Join a top-rated company with a focus on employee engagement and impactful work.
- Qualifications: Master's in Physics or Maths; strong stats and programming skills required.
The predicted salary is between 24000 - 28000 £ per year.
Data Science Analysts (Graduates 2024 or 2025) MSc in Physics or Maths preferred
£30,000 - £35,000 Negotiable DoE
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 unfortunately.
Safestore is the UK’s largest self-storage group, and part of the FTSE 250. We believe that engaged colleagues, who feel valued by our business, are the foundation of our customer-focused culture. We know our people as individuals, and show respect for each other, enabling everyone to have a voice so that they can bring their full, unique selves to work. We are exceptionally proud that, in 2021 we were awarded the prestigious 'Investors in People' Platinum accreditation, placing us in the top 2% of accredited organisations in the UK and have maintained this accreditation ever since.
Key Accountabilities
- Partner with other support departments to discover and deliver projects that use data and statistics in identifying trends and optimisation to support decision making
- Perform statistical analysis on our customer base and formulate either pricing strategies or commercial strategies to optimise revenue.
- Deliver insights to drive business decisions and design algorithms that can be used to improve either our pricing or operational strategy.
- Develop an excellent understanding of relevant internal and external data sources.
- Work together with other departments and stakeholders to develop and promote best practices in analytics and experimentation across the company.
- Design and build internal self-service analytics and experimentation tooling.
Experience & skills required
- A Master’s degree in a quantitative subject, ideally Physics or Mathematics.
- An ability to articulate and interpret commercial-based questions, identifying and querying data (SQL) and using statistics to arrive at an answer.
- A sound understanding of statistics (probability distributions, sampling, hypothesis testing, regression) and some practical experience in applying some of these concepts in real-life problems.
- Experience using statistical software and programming using R, SQL, Python or similar in datasets.
- Excellent communication skills to be able to understand business needs of cross-functional stakeholders, deliver findings and recommendations, as well as to drive collaboration.
Preferred Requirements
- Experience in identifying opportunities for product or business improvements and measuring the success of those initiatives.
- Experience in applying modelling techniques e.g. time series forecasting, segmentation / clustering, anomaly detection.
If this great opportunity interests you, please make an application to our Recruitment Partner, Datatech Analytics.
Graduate Data Scientist in Borehamwood employer: Datatech Analytics
Datatech Analytics is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration within the secure government and defence sectors. Employees benefit from meaningful projects that have a direct impact on national security, alongside opportunities for professional growth and development in cutting-edge technologies. With a hybrid working model and a focus on employee well-being, this role provides a unique chance to contribute to critical transformation programmes while enjoying a supportive and engaging workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data Scientist in Borehamwood
✨Tip Number 1
Familiarise yourself with the specific tools and programming languages mentioned in the job description, such as SQL, R, and Python. Having hands-on experience with these will not only boost your confidence but also demonstrate your readiness for the role.
✨Tip Number 2
Engage with data science communities online or attend local meetups to network with professionals in the field. This can provide you with insights into industry trends and potentially lead to referrals or recommendations.
✨Tip Number 3
Prepare to discuss real-life applications of statistical concepts during interviews. Think of examples where you've used statistics to solve problems or make decisions, as this will showcase your practical understanding of the subject.
✨Tip Number 4
Research Safestore and their business model thoroughly. Understanding their operations and how data science can impact their decision-making will allow you to tailor your discussions and show genuine interest in contributing to their success.
We think you need these skills to ace Graduate Data Scientist in Borehamwood
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your MSc in Physics or Maths and any relevant experience with data analysis, statistics, and programming languages like R, SQL, or Python. Emphasise projects or coursework that align with the job description.
Craft a Compelling Cover Letter:Write a cover letter that showcases your passion for data science and how your skills can contribute to Safestore's goals. Mention specific experiences where you've used statistical analysis to drive business decisions.
Highlight Relevant Skills:In your application, clearly outline your understanding of statistical concepts and any practical experience you have. Include examples of how you've applied these skills in real-life scenarios, especially in commercial contexts.
Showcase Communication Skills:Since excellent communication is key for this role, provide examples in your application of how you've effectively communicated complex data insights to non-technical stakeholders. This will demonstrate your ability to collaborate across departments.
How to prepare for a job interview at Datatech Analytics
✨Showcase Your Technical Skills
Be prepared to discuss your experience with statistical software and programming languages like R, SQL, and Python. Bring examples of projects where you've applied these skills, as this will demonstrate your practical knowledge and ability to solve real-life problems.
✨Understand the Business Context
Research Safestore and understand their business model. Be ready to articulate how data science can drive decision-making and optimise revenue for them. This shows that you’re not just a techie but also someone who understands the commercial implications of your work.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Practice articulating how you would approach specific data-related challenges, such as identifying trends or formulating pricing strategies. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Communicate Effectively
Since excellent communication skills are crucial for this role, practice explaining complex data concepts in simple terms. Be ready to discuss how you would present findings to cross-functional stakeholders, ensuring they understand the insights and recommendations you provide.
