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Data and Technology Tutor

Remote / Online - Candidates ideally in
Worcester, Worcestershire, WR1, England, UK
Listing for: Kaplan
Full Time, Contract, Remote/Work from Home position Listed on 2026-11-10
Job specializations:
  • Education / Teaching
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 53000 - 64000 GBP Yearly GBP 53000.00 64000.00 YEAR

Job Description & How to Apply Below

Data and Technology Tutor Reference number: JR259414

Location:

Home Based - Remote Working pattern:
Full Time, 37.5 Hours Per Week Contract Type:
Permanent Number of roles: 1 Grade : D3 Salary: £53,000 to £64,000 We are looking for a Data and Technology Tutor to join our team. Role Summary By providing outstanding technical training and subject expertise, you will inspire our apprentices to succeed and achieve excellent learning and assessment outcomes. You will focus on delivering foundational data and AI knowledge, particularly for Level 3 standards, while helping us grow our AI-focused curriculum.

As a Data and Technology Tutor, you will:
Deliver Live Online and in-person training for apprentices and commercial Gen AI workshops. Guide and inspire learners to achieve excellent learning and assessment outcomes. Maintain subject matter expertise in foundational data analysis techniques and emerging AI tools. Support the development of courseware content and practical activities for Data and AI programmes. Provide 1:1 support for learners where needed. Liaise with Talent Coaches to ensure learners are making progress on their apprenticeship.

This is an excellent opportunity for someone who may be currently working for a training provider as a Trainer specialising in Data or Digital skills, working in a technical data role (such as a Data Technician or Data Analyst) or acting as a "Digital Lead" or "AI Champion" within your current organisation, who is looking to expand their skills and build their career with an industry leader.

A detailed job description can be viewed here. If the link does not work for you, please copy and paste the following URL into your web browser: (Use the "Apply for this Job" box below). What you’ll bring to the role We’re looking for someone who can bring enthusiasm and proven technical ability to the role who also has the skills to organise, manage and teach a class of learners.

Enthusiasm and the technical ability to organise, manage, and teach a class of learners. Knowledge of Data Analysis and an interest in AI and Machine Learning. A relevant technical qualification or certification (e.g., Microsoft, Tableau, Python, or R).

Experience of , or a strong desire to work with, apprentices. Excellent communication, presentation, and time management skills. A flexible approach and a collaborative "team player" attitude. What we do Kaplan Professional is a leading provider of apprenticeships, accountancy / tax / finance & banking courses, and professional assessments. For almost 80 years, we've helped shape the development and careers of finance professionals.

What we believe in Our goal is for Kaplan to be a great place to work where everybody can succeed, so we truly live and breathe our values: act with integrity, grow knowledge, empower & support, create opportunity, drive results together. Kaplan is a global organisation whose mission is rooted in providing equal access to education and opportunities for advancement to people of all backgrounds.

We believe diversity, equity and inclusion - of culture, experiences, perspectives - are paramount to creating success and opportunity in an ever-changing world. As an educator, partner and employer, Kaplan is committed to promoting an equitable world in which diverse talent can develop, advance and thrive. To view our candidate privacy notice . Our Values We live, breathe and celebrate our values - they drive what we believe in, how we behave and guide us in creating a culture of success.

• Act with integrity
• Empower and support
• Create opportunity
• Grow knowledge
• Drive results together What we offer As well as a competitive salary, transparent pay structures, hybrid/home working where possible, and paths for career progression, we…
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