What exactly do they do?

A data scientist is responsible for extracting, analysing, and interpreting massive amounts of data using statistical tools and other methodologies in order to create actionable results for a business.

After the data has been evaluated, the findings will be provided to the business in a clear and digestible format that receivers can understand.

Data scientists operate in a variety of industries, including banking, health care, retail, information technology, and many more. Businesses in these areas generate a large amount of data, which, when properly organised and analysed, can be utilised to help the firm operate more efficiently.

A data scientist's typical responsibilities include the following:

• Working with the company to identify problems and give solutions
• Choosing the best statistical techniques for a project
• Using machine learning and other techniques to generate problem-solving solutions
• Making recommendations to enhance data collection methods
• Creating reports that summarise what is going on in the company
• Keeping abreast of technology advancements to guarantee that the most up-to-date and innovative procedures are applied

Is it suitable for me?

To begin with, if you do not appreciate dealing with statistics and complex sets of data, becoming a data scientist may not be the profession for you. People in this field spend the majority of their time analysing and interpreting data using cutting-edge analytical tools, so you'll also need a keen eye for detail to get the job done.

However, if you appreciate working as part of a team and putting your expertise to the test in order to provide the best outcome (see also: data visualisations) for a company, you'll thrive in this position.

A good data scientist should have the following skills:

• Superior analytical thinking abilities
• Worked with analytics tools in the past
• Excellent listening and communication abilities
• The ability to operate under pressure and meet tight deadlines
• Excellent time management abilities

Career progression

• Up to £45,000 for a Junior Data Scientist
• Up to £55,000 for Data Scientist
• Up to £65,000 for a Senior Data Scientist

What's it really like?

A degree in a relevant discipline, such as computer science, mathematics, or statistics, may be required by some employers. However, becoming a data scientist is achievable by working your way up from a lower-level position, often while also receiving specialised training for the function.