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Data Scientist

Data Scientists are the architects of the data-driven future, transforming raw data into actionable insights that drive strategic decision-making across industries. In the UK, where data is the new oil, this role is crucial for businesses aiming to stay competitive and innovative in a rapidly evolving market.

Data Scientist

65

Computer Science

AI IMPACT
AI CAN DO65%moving to95%
THE DOOR, NOWC
THE DOOR, 20 YRSE
STARTING PAY£30,000 - £40,000
NO MOATNo physical, legal or personal barrier protects this work from software.
This work is being absorbed by AI
AI already does much of this work and nothing structurally requires a human: no licence, no physical task, no relationship at the core. Expect fewer people in higher-judgment roles: enter as the person directing the tools, not competing with them.

Who hires for this

BBCThe BBC is a leading employer in data science, offering opportunities to work on innovative projects that impact millions. They value creativity and analytical skills.DeloitteDeloitte is renowned for its data analytics services, providing a dynamic environment for Data Scientists to thrive and develop their careers.SkySky is at the forefront of data-driven entertainment, offering Data Scientists the chance to work on cutting-edge technology and analytics.TescoTesco leverages data to enhance customer experience and operational efficiency, making it a great place for Data Scientists to make a real impact.BarclaysBarclays invests heavily in data science to drive innovation in banking, providing a stimulating environment for Data Scientists.Zebra TechnologiesZebra Technologies focuses on data-driven solutions for businesses, offering exciting opportunities for Data Scientists in a fast-paced environment.Ocado TechnologyOcado Technology is a pioneer in online grocery shopping, using data science to optimise logistics and customer experience.RevolutRevolut is a fintech company that relies on data science to enhance its financial services, providing a vibrant workplace for innovative thinkers.ASOSASOS uses data science to personalise the shopping experience, making it an exciting place for Data Scientists to work on real-world applications.GSKGSK is a global healthcare company that employs data science to improve patient outcomes, offering meaningful work for Data Scientists.
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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