Become a technical mentor
Support apprentices in building practical skills, on a schedule that works for you, backed by a structured programme.
Mentors worked at:
Position Type
Flexible part-time
Hourly Rate
£25-75 per hour*
Location
Remote (UK-based)
*depending on experience and responsibilities chosen
Make a real difference by helping learners tackle everyday workplace challenges with confidence
Share your experience and guide early-career professionals using the practical knowledge you've gained in industry
Grow your coaching skills while gaining insight into how different teams think and solve problems
Join a supportive community of professionals who enjoy sharing ideas and learning from one another
Enjoy flexible, purposeful work that fits around your schedule
Turn your experience into impact.
Flexible mentoring. Real outcomes.
Mentor others. Grow yourself.
You’re expected to
Explain ideas clearly without jargon
Ask good questions that help learners think for themselves
Give constructive, honest feedback
Keep sessions supportive, practical and focused
Have strong English communication (spoken and written)
Responsibilities
Project Reviews (Core Activity)
Project Reviews (Core Activity)
Project review is a central part of the apprenticeship journey. In these sessions, the learner walks through their work-in-progress on a real project — sharing what they're trying to solve, the choices they've made, what's worked, and what they're stuck on. As a Technical Mentor, you'll listen, ask questions, point out gaps or risks, and suggest concrete next steps. The goal isn't to write the answer for them — it's to help them think more clearly, recognise patterns and leave the session with a stronger plan.
Main principles of reviewing:
- Project review is an analog of a code or a task review with a senior at a real workplace. We want to make it feel like a collaborative experience with a supportive lead in an actual team.
- The reviewer adds available time slots and the learner chooses one. Since apprenticeships require learners to study during work-hours (8am-6pm), the times should primarily be added inside this range.
- Every project review requires preparation & reflection — the Technical Mentor should come prepared.
A review usually lasts around 45 minutes, while the preparation may take anywhere between 15 minutes to an hour. Preparation and session time are both compensated.
Open Sessions
Open Sessions
Open Sessions are drop-in sessions hosted by Technical Mentors, where learners can join to ask questions, work through problems and get help with their projects. Your role is to host, answer questions and help learners stay on track with recently covered topics.
How Open Sessions work:
- Delivered as scheduled sessions.
- Learners drop in as needed for guidance, clarification or encouragement.
- Everything is delivered online.
Expected Qualifications
Industry Experience
At least 2–3 years, ideally more, of hands-on experience in a technical role
Knowledge about most recent AI advancements and how they affect data analysis, automations and other tasks that data professionals are expected to perform
Experience working with real datasets, producing insights and communicating findings to colleagues or stakeholders (for data-focused programmes)
A good sense of how data teams operate, including typical workflows, tools and problems (for data-focused programmes)
Experience automating workflows using Python, other programming languages or no-code tools (Zapier, Make, Power Automate, n8n, make)
Academic experience (e.g. teaching, research, postgraduate study) is welcome, but should be complemented by practical industry work
Technical Skills
You are not expected to cover the full curriculum. A solid grasp of the majority of topics in a particular programme is sufficient, and you can mentor in the areas that best match your strengths.
Relevant skills include:
SQL
SQL
- Writing queries to join, filter and aggregate data
- Understanding database structures
- Supporting learners in troubleshooting common SQL issues
Data Visualisation
Data Visualisation
- Creating clear dashboards in Power BI, Tableau or similar
- Using charts to communicate insights effectively
- Reviewing and improving visual clarity and structure
Automations with no-code tools
Automations with no-code tools
- Automating business processes using n8n, Zapier, Make, Power Automate or similar
- Creating prototypes or mini tools for automating processes using no-code builders such as Lovable, Bolt, Hostinger Horizons or similar
Python
Python
- Data manipulation using libraries such as pandas
- Working with CSVs, APIs or basic scripts
- Helping learners think through data cleaning and transformation logic
Analytical Thinking
Analytical Thinking
- Structuring analysis logically
- Identifying trends and explaining their relevance
- Helping learners translate findings into business language
Professional Qualities
Reliable and organised with your availability
Comfortable reviewing someone else’s work
Willing to share your own experience and approaches
Able to guide learners through real-world tasks without taking over the work
Approachable, patient and interested in supporting others
Minimum Expected Participation
At least 6–12 hours / month
depending on your availability and the number of learners you support. Most of these hours should be dedicated during regular work-hours (8am to 6pm)
At least 1 Open session / week
with the option to lead more if you enjoy group work
At least 4 project reviews / month
with additional sessions available for Technical Mentors who want to take on more