Azure AI & Data Associate

Build Real Systems - Not Just Slides

Most attachments teach you how companies work. This one lets you change how work itself happens.

You will help build tools that remove administrative friction from real organisations - systems that organise messy information, assist human decision-making, and make services more responsive. These are not mock projects or internal exercises. What you ship will be tested in live pilot environments.

We are not looking for specialists.
We are looking for people who like figuring things out.

You do not need to already know everything - but you should enjoy learning fast, thinking clearly, and turning ambiguity into something usable. If you have ever automated something just because it was annoying, redesigned a workflow that did not make sense, or wondered how AI decisions should be checked by humans, you will probably enjoy this.

You will leave with:

• A portfolio showing deployed features, not coursework
• Experience working across technology, product and users
• A clear story to tell future employers about impact

Skillset Needed / Willing to Self-Learn

• Interest in AI, language models, or data analytics
• Familiarity with basic statistics or data reasoning
• Curiosity about how AI decisions are evaluated and improved
• Willingness to self-learn prompt engineering and evaluation techniques
• Clear analytical thinking and experimentation mindset

What You Will Learn

• How language models are applied in real business workflows
• Prompt design, testing, and improvement using structured evaluation
• Measuring alignment between AI output and human judgement
• Turning technical results into clear dashboards and insights

How This Changes the World

You help ensure AI systems prioritise the right cases and support fairer, faster responses. Better AI judgement leads to fewer missed signals and more responsible automation.

Why This Role Is Exciting

• Hands-on experience with applied AI, not just theory
• Exposure to ethical and responsible AI practices
• Strong portfolio artefacts: prompts, evaluations, dashboards