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

Nominate & Attend

Graduate-Statistics/Mathematics

Witney
3 weeks ago
Applications closed

Related Jobs

View all jobs

Graduate Calibration Engineer

Graduate Engineering Geologist Warwick Midlands

Graduate BIM Technician

Graduate/Trainee Recruitment Consultant

Graduate Geo Environmental Engineer

Graduate Data Analyst - Mathematics, Operational Research, Statistics or Econometrics

Pay rate: 32,500per annum

Location: Witney

Hours: 37.5

Contract duration: 12 Months

Job Description:

The role comprises of providing statistical support for the operations/manufacturing departments across the Abbott Diabetes Care (ADC) product range as well as collaborating with Technical, Manufacturing, Research & Development, Engineering, Quality and Regulatory colleagues.

In this role, you would be joining a large vibrant, friendly and diverse group of Statisticians and SAS programmers, where you can expect to work across a diverse range of projects and utilise various statistical techniques. Our statistical teams collaborate to form a network of Statistics professionals, and offer members the opportunity to share best practices, leverage insights and skill-sharing, and build personal career expertise and professional development.

Key activities as a Statistician include:

  • Investigation and monitoring of manufacturing and product performance data to drive continuous improvement.

  • Transfer of products and processes from Research & Development into Manufacturing to support our exciting new product launches.

  • To be a key individual supporting development trials utilising your statistical background to drive quality and business decisions.

    Essential Skills and Experience

    You will have a BSc (or higher) in Statistics or Mathematics. Previous experience working in a regulated or manufacturing environment, and SAS/R programming skills are advantageous but not required.

    We will expect you to be able to successfully contribute to a small number of projects, and work with colleagues from a range of backgrounds to explain statistical concepts to them. Additionally, you’ll need to be adaptable, have a keen eye for detail, excellent written and verbal communication abilities, strong collaboration and team-working skills
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.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.