Career outlook for data scientist
UK Salary Ranges
Currently employed in Scotland
What's it like?
Businesses use data analytics to improve decision making. It’s how organisations get a better understanding of their customers or work out product trends.
For example, think about flight prices. Airlines put prices up during busy times when lots of people want to fly. During quieter times, they lower them to attract customers. Data science helps inform these decisions.
You’d collect and analyse large amounts of raw data from a range of sources like surveys, analytics or cookies on a website. Then you’d look for patterns or insights using different methods. For example, algorithms, data mining, artificial intelligence, machine learning and statistical tools.
You’d then present your results to help make predictions or find solutions to problems.
Things you might do
- identify issues or opportunities to use data in an organisation
- collect raw data and turn it to a useable format
- look for patterns in the data to help identify trends
- test data mining models to select one that suits the need
- solve business related problems using machine learning tools and statistical techniques
- present your results to your organisation or client
- stay on top of analytic techniques like machine learning and text analytics
- work with a variety of programming languages, including 'SAS', 'R' and 'Python'
You could work in a variety of industries. Depending on your interests and the opportunities available, you could work in:
- fintech (financial technology)
- scientific research
- information technology
UK employment status
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- Verbal communication
- Written communication
- Problem solving
- Attention to detail
- Developing a plan
- Making decisions
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