
Data Scientist
Data Scientists help organisations tackle some of the most exciting problems they face using data and advanced analysis. Learn more about the skills and training you need to become a Data Scientist

Role profile
What is a data scientist?
Data scientists analyse complex data to uncover patterns, make predictions, and drive decisions. They clean and process raw data, use statistical models and machine learning, and visualise insights to solve real-world problems.
Whether optimising business strategies, detecting fraud, or personalising recommendations, they turn data into actionable knowledge. Blending coding, maths, and domain expertise, they are the bridge between raw information and impactful solutions.
Why do businesses need data scientists?
Data scientists play a vital role in business by turning data into actionable insights. They help companies understand customers, optimise operations, and predict trends using analytics and machine learning.
By collaborating with teams across organisations, they drive smarter decision-making, improve efficiency, and help to uncover new opportunities.
Data scientists are exceptionally well placed to help companies leverage the transfomative capabilities of AI, and their work fuels innovation and keeps businesses competitive in a data-driven world.
What kind of projects might I work on as a Data Scientist?
Data scientists are an essential cog in many industries, responsible for building the systems that drive forecasting and analytics. Here are some of the key projects they might be involved in:
Data Science in Retail:
- Developing recommendation systems that personalise shopping experiences based on user behavior.
- Forecasting product demand to optimise inventory and reduce waste.
- Analysing customer sentiment in reviews to improve products and marketing strategies.
Data Science in Finance:
- Creating fraud detection algorithms to identify suspicious transactions in real time.
- Building credit risk models to assess loan applicants and minimise defaults.
- Designing automated trading strategies that analyse market trends for better investments.
Data Science in Healthcare:
- Developing AI models to detect diseases like cancer from medical images.
- Forecast patient outcomes and improving treatment plans.
- Optimising hospital resource allocation by analysing patient flow and staffing needs.
Data Science in Environmentalism:
- Analysing climate data to optimise the placement and use of renewable energy sources.
- Using machine learning to predict natural disasters like hurricanes and wildfires.
- Monitoring deforestation through satellite imagery to track environmental changes.
How does QA support data scientist training?
QA offer a broad range of training for data scientists, including apprenticeships, certifications and courses that help to build relevant skills, such as machine learning, AI, soft skills and cloud platforms.
Our online learning platform includes a wealth of content for data scientists, including expert-led lessons, exams and hands-on labs. We also offer a number of data and AI apprenticeships for those that want to kickstart a career in data science.
Data science insights
Average UK salary for a data scientist
Fastest growing role in the UK between 2023 and 2027
Rating by data scientists for future career prospects
How to become a data scientist
There a number of career paths for those that want to become a data scientist. Explore the training and certifications available to help you on your journey into the word of data science.

Learn data science online
Discover unlimited learning with a subscription to our online learning platform, including hours of data science courses, hands-on labs and exams.

Data science courses
Get trained in Data Science with courses delivered by experts in Data and AI.

Data and AI apprenticeships
Give your organisation an edge by empowering your teams with AI, Machine Learning, and data-driven skills through our apprenticeship programmes.
Top courses for data scientists
Introduction to Data Science for Data Professionals
This three day course is aimed at those who are familiar with the essentials when working with data and are interested in learning about how Data Science, Analytics, Machine Learning, and Artificial Intelligence (AI) can be used to yield value from data assets.
Mathematics for Data Science
This five-day course is designed for those who want to broaden their mathematical knowledge beyond Statistics and Probability for Data Science.
Data Science and Machine Learning with Python
This five day course is aimed at those who are familiar with data analysis and are interested in learning about how Data Science, Analytics, Machine Learning, and Artificial Intelligence (AI) can be used to yield value from data assets.
Data Science and Machine Learning with R
This five-day course is aimed at those who are familiar with data analysis and are interested in learning about how Data Science, Analytics, Machine Learning, and Artificial Intelligence (AI) can be used to yield value from data assets.
Designing and Implementing a Data Science Solution on Azure
Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning.
What our data science expert says
“The data industry is experiencing significant transformation, with breakthroughs in AI and machine learning driving unprecedented levels of innovation. Organisations are now harnessing the power of big data to inform strategic decisions, enhance customer interactions, and stay ahead in a competitive market."

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