At a Glance
- Tasks: Deliver engaging technical training and develop tailored learning programmes for clients.
- Company: Join Rockborne, a fast-growing Data & Analytics consultancy with a vibrant culture.
- Benefits: Enjoy a competitive salary, wellbeing allowance, gym membership, and early Friday finishes.
- Other info: Dynamic role with opportunities for professional growth and collaboration.
- Why this job: Make a real impact by shaping the future of data professionals and client solutions.
- Qualifications: Strong technical knowledge in data tools and previous training or client-facing experience.
The predicted salary is between 60000 - 75000 £ per year.
Location: London
Hybrid: 3 to 4 times in person per month
Salary: £60,000 to £75,000
We are looking for an experienced Data Coach to join our training team at Rockborne. This is a varied role combining technical training, content development and client-facing work across both our internal consultant cohorts and external client programmes. You will play a key role in developing our consultants through high-quality technical training, while also working directly with clients to understand their needs, design tailored learning programmes and deliver bespoke Data, Analytics and AI training. There will also be opportunities to support wider client projects and work with our commercial team to provide technical input into client briefs and potential solutions.
This position will suit someone who combines strong technical knowledge with confident training and client-facing skills, and who enjoys the variety of moving between teaching, content creation, stakeholder engagement and commercial support.
About Rockborne
Rockborne is a fast-growing Data & Analytics consultancy and training provider. We recruit, train and deploy diverse early-career data professionals into organisations across multiple industries, combining hands-on technical training, business education and professional skills development to prepare our consultants to thrive in client environments. Alongside our consultant development programmes, we also work directly with organisations to deliver tailored Data, Analytics and AI training, as well as broader consulting and capability-building projects. Founded by industry experts with decades of global Data & Analytics experience, we help both individuals and organisations build practical, relevant data skills. 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 technical training to Rockborne’s internal consultant cohorts.
- Deliver bespoke training programmes to external corporate clients, adapting content to different audiences, skill levels and business needs.
- Work directly with clients to understand technical and training requirements.
- Create and maintain training content, exercises, projects and learning resources.
- Support the ongoing development and improvement of Rockborne’s technical curriculum.
- Provide coaching, feedback and mentoring to learners throughout their development.
- Support consultants in applying technical skills in real-world client environments.
- Contribute to client-facing projects where appropriate.
- Work with Rockborne’s commercial team to provide technical input into client briefs and help shape potential training or consulting solutions.
- Independently manage training projects and priorities while collaborating closely with the wider coaching and commercial teams.
Technical Skills
- Strong practical knowledge across several of the following areas: Excel, SQL, Python, Power BI, Tableau, Data Modelling, Cloud Platforms (including AWS, GCP or Azure), AI and Generative AI.
- Experience across Data Engineering, Data Science, BI, Data Warehousing, ETL or related areas would also be advantageous.
Person Specification
- Strong communication, presentation and facilitation skills, with the ability to engage a range of audiences.
- Previous experience delivering technical training, coaching, teaching or workshops.
- Previous client-facing experience, with confidence working directly with external stakeholders.
- Experience creating or developing technical learning content and training programmes.
- Ability to simplify complex technical concepts and connect them to practical business use cases.
- Strong stakeholder management skills.
- A self-starter who can take ownership of projects and manage multiple priorities.
- Commercial experience within Data, Analytics, BI, Data Science, Data Engineering or a related area would be advantageous.
- Experience in consulting, corporate training or client delivery would be beneficial.
What We Offer
- Alongside the opportunity to work across technical training, client delivery and wider consulting projects, 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.
Interested? If you’re an experienced technical trainer who enjoys working with clients, developing learning content and applying data skills to real business challenges, we’d love to hear from you. Apply today to join the Rockborne team.
Data & AI Technical Trainer in London employer: Rockborne
Join a dynamic and innovative team as a Sales Development Representative in the heart of the tech industry, where your contributions will directly impact our growth in the Data and AI sector. We offer a supportive work culture that prioritises employee development, providing comprehensive training and mentorship opportunities to help you thrive in your career. With competitive salaries and a vibrant office environment, this role is perfect for those looking to make a meaningful impact while enjoying a rewarding work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Data & AI Technical Trainer in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Rockborne!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Rockborne.
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We think you need these skills to ace Data & AI Technical Trainer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Rockborne, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Rockborne. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Rockborne
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Rockborne!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
