Manager

Boots
UK
1 year ago
Applications closed

Related Jobs

View all jobs

Manager - Data and Data Science Strategy - Emerging Data and Capabilities

Manager – Data and Data Science Strategy – Emerging Data and Capabilities

Manager - Data and Data Science Strategy - Emerging Data and Capabilities

Manager, Data Science - Shipping

Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hyb...

Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR...

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 to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.