Graduate Scientist

NPL
Teddington
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Graduate Data Scientist - Client-Facing, Hybrid Edinburgh

Data Scientist Graduate

Data Scientist

Data Scientist / Data Engineer within Defence & Security – Deloitte via AMS Skills Creation

Data Scientist (Semantic Search/Recommender Systems)

Are you interested in a career in scientific research?

At NPL, we are looking for graduates with a real passion for tackling some of the biggest challenges in industry, energy, the environment, and healthcare to join our Science groups. We pledge that NPL will be a place to create a positive impact for the world and your career.

As a Scientist on the two-year NPL Graduate Programme you will join one of our departments – which all push the boundaries of what is possible. You’ll be matched based on your background and interest. Within your department, you’ll rotate 2 or 3 times to ensure you are getting great exposure of the work and projects happening. These rotations will fast track your development through a mix of on-the-job learning, training, and networking and aim to respond to the national challenges of:

  • Prosperity: delivering measurement solutions to maximise innovation and prosperity in advanced manufacturing
  • Security and resilience: managing the risks to our national security and resilience infrastructure
  • Environment: science-directed measurement solutions for environment climate action and a sustainable future
  • Health: supporting healthcare, life science and the bio economy
 You will be based at our Teddington site and will be working on either laboratory, or data-based projects through practical and theory-based learning. Once you have completed the two-year programme you will join us as a permanent Scientist, with a working knowledge of complementary areas. We will provide the space and support so you can be the best version of yourself, as well as the tools to navigate the different demands of our work.

Graduate placements are available in the following departments (to find out more information please click on the department name):

As a Graduate Scientist, you will have the chance to collaborate with a variety of teams, which will help build and grow your network. You’ll be expected to use logical thinking skills for designing and following a work plan, along with developing technical documents as well as scientific publications. You’ll have the opportunity to get involved with analysing complex data sets such as (e.g., satellite imagery or instrument readings) which may lead to developing and creating new software tools. A key part of the role will be ensuring you are adhering to our Health & Safety and Quality systems which will help you produce accurate and repeatable results.

You will also be involved in supporting our community benefit activities – this may be going to local schools, supporting community activities, or helping at large NPL events. We will provide you with the opportunity to be part of a caring and daring community that truly values you and your contribution.

What we offer

  • Competitive starting salary
  • Annual pay reviews (non-contractual)
  • 27 days annual leave, plus bank holidays and the option to buy/sell annual leave days
  • 6 – 12 month tailored placements for the duration of the programme
  • Pension scheme with a minimum 5% employer contribution (12% employer contribution if you elect to contribute 6%)
  • Social and networking events with other graduates both on the programme and previous cohorts
  • Paid disability leave
  • Access to a wide array of learning and development opportunities
  • Employee assistance programme
  • Interest free loans (Up to £5k for season ticket loans, house purchase deposit and rental deposit)
  • Bike4Work scheme
  • Recognition awards
  • Civil Service Sports and Leisure discounts
  • Free parking on site
  • Located in South West London, our main site in Teddington is one of the most advanced metrology facilities in the world

About the process

  • Application form with cover letter
  • Online Assessment
  • Your first telephone interview will be conducted via Microsoft Teams
  • If you’re selected, you’ll attend an assessment centre, which will be held at our Teddington site in February / March 2025
  • If successful, we look forward to welcoming you in September 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.

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.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

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.