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R

Technical Trainer – Data & AI

Rockborne City of London
new


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    R

    Technical Trainer – Data & AI

    Rockborne City of London
    new
    Status Open
    Apply now

    Apply on the employer's website


    What we ask

    Education

    No minimum education required

    Job description

    Location: London (Mostly remote, in person in London every two weeks)

    Salary: Up to £35 - 50k


    We are looking for an enthusiastic and motivated Associate Data Coach to join our growing training team at Rockborne. This is a key role in supporting the development of our consultants, delivering high-quality, engaging training that empowers graduates and professionals to build practical data and analytics skills.


    This position will suit someone who is confident presenting and teaching, able to simplify complex concepts, and motivated to keep learning new tools and technologies. Prior experience teaching, tutoring, or coaching (in person or online) is highly valued, though we are also open to candidates with strong data experience who have demonstrated mentoring or training capabilities.


    About Rockborne


    Rockborne is a fast-growing data consultancy that recruits, trains, and deploys diverse early-career data professionals into organisations across multiple industries. We combine hands-on technical training, business education, and professional skills development to prepare our consultants to thrive in the workplace.


    Founded by industry experts with decades of global Data & Analytics experience, we help both individuals and organisations unlock their potential through the power of data.

    Rockborne sits within the Harnham Group, one of the world’s leading Data & AI recruitment specialists, with offices in London, New York, Phoenix, and Amsterdam.


    Key Responsibilities


    • Deliver engaging and interactive training sessions across core data tools and concepts, including:
    • Excel (data analysis, pivot tables, formulas, charts)
    • SQL (queries, joins, aggregations)
    • Python (data manipulation, best practices)
    • Data Visualisation (Power BI and/or Tableau)
    • Cloud Platforms (AWS, GCP, or Azure)


    • Teach both internal consultants and external corporate clients, adapting delivery to different audiences and skill levels.
    • Create and maintain training content, exercises, and learning resources.
    • Support learners through practical exercises, coaching, and feedback.
    • Stay current with new tools and technologies to keep training materials relevant.
    • Work collaboratively with senior coaches while independently managing your own workload and schedule.


    Person Specification


    • Strong communication and presentation skills, with the ability to engage and inspire learners.
    • Teaching, training, tutoring, or coaching experience (academic, professional, or online).
    • Practical knowledge of Excel and SQL; familiarity with Python and/or Cloud Platforms is an advantage.
    • A self-starter who can plan and manage their own time effectively.
    • Enthusiastic about continuous learning and professional development.
    • Confident delivering to groups, both in person and virtually.
    • Ideally degree-educated in a related field (e.g. Computer Science, Data Science, Mathematics), though not essential.


    What We Offer


    Alongside the opportunity to make a real impact through teaching and learning, you’ll also have access to a great range of benefits, including:


    • A monthly wellbeing allowance or corporate gym membership
    • Cycle-to-work scheme
    • Employee Assistance Programme
    • 4pm finish every Friday
    • Regular team socials and events
    • Hybrid working with in-person collaboration every two weeks


    Interested?


    If you’re passionate about teaching, enjoy helping others grow, and want to build your career in the world of data, we’d love to hear from you. Apply today and join us in shaping the next generation of data professionals at Rockborne.

    About the employer

    Rockborne
    Apply now

    Apply on the employer's website

    Apply now

    Apply on the employer's website


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