Manager

Boots
UK
1 year ago
Applications closed

Related Jobs

View all jobs

Manager, Data Science - Shipping

Senior Manager, Data Science - eBay Live

Technical Program Manager - Machine Learning - New York

Technical Program Manager - Machine Learning - New York

Sr. Project Manager/Program Manager - Digital Twin / AIOps (OSS)

Machine Learning Manager

Closing date: 20th October 2024 Recruitment Partner: Matt Haywood - matt.haywoodboots.co.uk About the Role The role is a blend of analytics & data science with a focus on translating and interpreting results into commercial benefits across Boots, with particular emphasis on any emerging datasets and analytical thinking that will benefit Boots Opticians. In addition to sourcing and processing data, uncovering analytical opportunities and developing models, you’ll be involved in evaluating commercial trials and supporting with the development of our reporting capabilities in a varied, hands-on role. Sitting within the Data Science & Analytics team (part of the Boots Data Office, and the wider International Technology & Advanced Analytics function), you’ll have access to large datasets and analytical tools which you’ll be using to inform and direct conversations on range optimisation and productivity, strategic planning and geospatial sciences. You’ll need an inquisitive mind and technical capability to capture data, create valuable insights and communicate the results with stakeholders. We want you to show us what you are capable of, and you will be both supported and challenged as you deliver innovative solutions and business recommendations. What you’ll need to have: Analytical or Data Science experience, or a relevant degree with quantitative elements (such as Maths, Physics, Geography, Computer Science, Psychology) Comfortable working both independently and collaboratively in a team Aptitude for logical thinking and problem solving Proficiency in using SQL, Python or R Ability to present results to less technical audiences Strong attention to detail with the drive to investigate and fix potential errors Experience with implementing and integrating new data sets Ability to organise and prioritise your own workload It would be great if you had: Experience with GIS software and techniques, or Alteryx Designer Experience with MI or data visualisation tools such as Power BI Demonstrable record of delivering results in a dynamic, commercial environment Ability to deal well with ambiguity, prioritising requirements and making recommendations Expertise in working with large structured and unstructured datasets Who we are International Technology & Advanced Analytics (IT2A) is a multi-national function of Walgreens Boots Alliance (WBA) based in the UK, Europe, Asia, South America and the USA. We use emerging technology and robust data to transform our pharmacy and retail offerings, improve experiences for customers and patients and enhance our operational effectiveness. Partnering with some of the finest tech providers and utilising a cutting-edge tech stack, we support two of the UK’s most trusted and established brands - Boots and No7. We’re a team of specialists spanning security, hosting, architecture, software engineering, networks, project delivery and more. A proud equal opportunity employer, we passionately embrace team member diversity and provide a positive and inclusive working environment for all. Our benefits Retirement Savings Plan Discretionary annual bonus Generous employee discounts Enhanced maternity/paternity/adoption leave pay and gift card for anyone expecting or adopting a child Flexible benefits scheme including holiday buying, discounted gym membership, life assurance, activity passes and more. Access to free, 24/7 counselling and support through TELUS Health, our Employee Assistance Programme. We have a great range of benefits in addition to the above that offer flexibility to suit you - find out more at boots.jobs/rewards . Please note, any salary estimates given on third-party sites are not provided or endorsed by WBA and may not be accurate. What's next Where a role is advertised as full-time, we are open to discussing part-time and job share options during the application process. If you require additional support as part of the application and interview process, we are happy to provide reasonable adjustments to help you to be at your best. This role requires the successful candidate to complete a Pre-employment check after receiving an offer. Depending on your location you will be asked to submit either a DBS (Disclosure & Barring Service), PVG (Protection of Vulnerable groups) or an Access NI Check. We are a Ban the Box employer and will consider the suitability of applicants with criminal convictions on a case-by-case basis. LI-Onsite Keywords Data, Analyst

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.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.