Data Science Analyst (Graduate)

Borehamwood
1 month ago
Applications closed

Related Jobs

View all jobs

Associate, Data Science Analyst – Global Oil Markets (Hybrid - 3/2 Work Schedule)

Senior Operational Analyst

Design Systems Analyst (Smart Places & Digital Twin Specialist)

Data Support Analyst

Senior Pricing Analyst

Graduate Data Analyst - Fresh Produce

Data Science Analysts (Graduates)
£30,000 - £35,000 Negotiable DoE
Hybrid working - North London Head Office (Borehamwood) & Home
Job Reference J12939

Proud to employ great people who are passionate about what we do

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.

Unrivalled opportunity for career development and to positively influence the business

We are currently recruiting for two Data Science Analysts (Graduates); working closely together and playing crucial roles to the business. One Analyst will support the Commercial and Operations teams to deliver the UK and EU commercial strategies and enable the business to achieve its objectives. The second Analyst providing support to the pricing team to deliver the UK and EU pricing strategies and enable the business to achieve its objectives through dynamic pricing.
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 or statistical subject.
• 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

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Jobs Careers

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Jobs

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.