At a Glance
- Tasks: Deliver engaging training on Data, Analytics, and AI while developing tailored learning programmes.
- Company: Join Rockborne, a fast-growing company at the forefront of data innovation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to collaborate on exciting client projects.
- Why this job: Make a real impact by shaping the future of data training and client solutions.
- Qualifications: Strong technical knowledge in Data and AI with excellent training and client engagement skills.
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
Data & AI Technical Trainer 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
✨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 Data & AI Technical Trainer 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 Data & AI Technical Trainer 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!
We think you need these skills to ace Data & AI Technical Trainer
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.
