National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Graduate Data Science Analyst - Borehamwood - Driving License & Car Essential

Datatech Analytics
Hertfordshire
3 months ago
Applications closed

Related Jobs

View all jobs

Business Analyst

Senior Clinical Data Analyst

Technical Pricing Manager

Legal Onboarding Specialist

Graduate Data Scientist - Fraud

Graduate Data Scientist

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

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.