Materials Scientist

Materials Scientists are at the forefront of innovation, shaping the future of technology and sustainability through the study and development of new materials. Their work is crucial in various sectors, including aerospace, healthcare, and renewable energy, making a significant impact on global challenges such as climate change and resource scarcity.

Materials Scientist

28

Physical Sciences

AI IMPACT
AI CAN DO28%moving to73%
THE DOOR, NOWB
THE DOOR, 20 YRSD
STARTING PAY£30,000 - £35,000
NO MOATNo physical, legal or personal barrier protects this work from software.
AI helps here, but has not taken over
AI can already do some of this job, but the day-to-day work still leans on a person to decide, check and take responsibility. Nothing formally protects this job though, so the safest move is to keep building the judgement AI cannot yet copy.

Career progression path

1FIRST STEPJunior Materials ScientistIn this entry-level role, you will assist in laboratory experiments, conduct basic analyses, and support senior scientists in their research projects.£30,000 - £35,000
2GAINING EXPERIENCEMid-level Materials ScientistAs a mid-level scientist, you will lead projects, mentor junior staff, and take on more complex research tasks, contributing significantly to product development.£45,000 - £55,000
3PEAK CAREERSenior Materials ScientistIn this peak career role, you will oversee major research initiatives, drive innovation strategies, and represent your organisation in industry conferences and publications.£70,000+

Real apprenticeship standards

Live UK apprenticeship standards that lead into this career, from the Institute for Apprenticeships register.

L6Materials science technologist (degree)48 months typicalnot published
There is more than one way in

You do not have to go the university route to get here. There is also a vocational route that skips a degree entirely.

Careermash

Careermash: navigate your career path with real data. Explore career profiles, salary benchmarks, AI impact forecasts, and the qualifications you need to get there.


AI EXPOSURE = the share of a job's day-to-day tasks AI can already do today, from the same exposure engine used across this site (Anthropic labour market research, 2026, observed real-world AI usage by occupation). Higher means more exposed. It is a measurement of now, not a prediction. THE DOOR = how hard the job is to get into, grade A (easy) to E (extremely hard), from each career's published forecast (OpenAI, "The AI Jobs Transition Framework", Richmond 2026, CC BY 4.0). A card marked MOAT NOT YET CLASSIFIED has a real exposure score but no entry yet in our moat register, so we make no claim about what structurally protects it. Scorecard grades and verdicts are Careermash editorial judgment: we show forecasts as forecasts and own our conclusions. Salary and pathway figures are each career's own published profile. Careermash is a service provided by What School Ltd.

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