At a Glance
- Tasks: Deliver engaging training on data tools and concepts to empower learners.
- Company: Join Rockborne, a fast-growing data consultancy with a collaborative culture.
- Benefits: Enjoy a competitive salary, wellbeing allowance, and a 4pm finish every Friday.
- Other info: Work in a dynamic environment with hybrid working and regular team socials.
- Why this job: Make a real impact by teaching and shaping the next generation of data professionals.
- Qualifications: Strong communication skills and experience in teaching or mentoring are essential.
The predicted salary is between 35000 - 50000 £ per year.
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)
- 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
- A monthly wellbeing allowance or corporate gym membership
- Employee Assistance Programme
- 4pm finish every Friday
- Regular team socials and events
- Hybrid working with in-person collaboration every two weeks
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.
Technical Trainer – Data & AI 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 Technical Trainer – Data & AI 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!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Technical Trainer – Data & AI at Rockborne.
✨Leverage Professional Networks
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.
✨Apply Directly through Our Website
When you find a suitable opening like Technical Trainer – Data & AI at Rockborne, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
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.
