TechnologyCareer guide
What does this career involve?
Builds or evaluates systems that identify patterns, generate content or automate tasks.
Why is it important?
AI adoption increases demand for people who can develop, test and responsibly apply data-driven systems.
What do you need?
- Strong programming and mathematics foundations
- Statistics, data preparation and model evaluation
- Awareness of privacy, bias and responsible use
How to start
Learn Python, statistics and data handling, complete beginner projects, document limitations and build a portfolio of evaluated models.
Useful skills to build
Build communication, digital confidence, problem-solving, teamwork and a habit of learning. Save practical projects or examples that show what you can do.
This is a specialist path; foundational software and data skills are valuable first steps.
Career action plan
- Confirm the entry requirements for your chosen role.
- Compare accredited study or training routes.
- Build a project, practical example or relevant experience.
- Prepare a tailored CV and practise interviews.
Keep exploring with Torch CareersCompare options, build practical skills and use official sources before you apply or invest.