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Data scientist

You'll uncover hidden patterns in raw data, turning them into powerful insights that solve problems and predict future trends. It's all about finding the story the data has to tell.

About the job

Salary (before tax)

Entry

£60,000

Arrow

Experienced

£100,000

In this job, new workers in Scotland start around £60,000 per year. Experienced workers can earn up to £100,000.

Source:

Hays

Career insights – Data scientist

What it's like

Data scientists are the masterminds behind smarter business decisions, using data analytics to unlock valuable insights. They help companies understand their customers better, spot product trends and even predict the future. For example, when airlines adjust flight prices, it's data science at work, analysing demand and timing to set the perfect price.

By gathering massive amounts of data from sources like surveys, website analytics and cookies, you dive deep to discover patterns using powerful tools such as AI, machine learning and algorithms. You'll turn those findings into actionable insights, driving smarter decisions and innovative solutions.

Your tasks might include:

  • identifying issues or opportunities to use data in an organisation

  • collecting and transforming raw data into a useable format

  • analysing data to identify patterns and trends

  • testing and selecting the best data mining models for the task

  • solving business problems using machine learning and statistical techniques

  • presenting findings and results to clients or stakeholders

You'll work with a range of programming languages, including SAS, R and Python to analyse data and build models.

You could work across diverse industries such as finance, fintech, academia, healthcare, retail, IT, government and ecommerce. Your opportunities depend on your interests and the available roles.

"Data science was seen as nerdy but now it's creative. Communication matters because you have to sell what you uncover and that means telling stories around data. The future belongs to people with soft skills just as much as to those who master hard data analysis."

Euan Davis

Data Scientist, Cognizant

Hours

You'll usually work Monday to Friday. You may need to work overtime depending on project deadlines.

Environment

You'll usually be working on a computer, either in an office, remote or hybrid.

Travel

Some travel may be required, depending on the role you're working in.

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