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- Tasks: Deliver engaging Data Science/AI courses and improve learning materials.
- Company: Join QA, the UK's leading IT digital skills provider, dedicated to upskilling talent.
- Benefits: Enjoy competitive salary, 27 days leave, hybrid work, and wellness initiatives.
- Why this job: Be part of a supportive culture that values diversity and continuous professional development.
- Qualifications: Experience in Data Science/AI training and familiarity with tools like Python or R required.
- Other info: Remote role with occasional travel; apply easily online in just a few minutes.
The predicted salary is between 28800 - 48000 £ per year.
Location: Remote (with some travel to QA sites and client locations)
Full time/Permanent
Are you a Data Science/AI Trainer looking for that next step? Do you have a background and a passion for teaching all things data/AI? If you want to be part of a genuinely supportive and professional environment, QA could be the company you’re looking to join! We’re the UK's leading IT digital skills provider and training company – experts in upskilling, reskilling and other talent needs required by established public sector organisations, enterprises, and higher education universities!
Needing flexible hours and a good work-life balance? Don’t worry – we offer that too!
What will I be doing day to day?
- You will be delivering Data Science/AI courses as part of our programmes delivery.
- You will contribute to improvements to the scheme of learning, lesson plans, teaching and learning materials and resources to meet the qualification requirements.
- You will contribute to business success by identifying and proactively pursuing opportunities for improvement, supporting the sales teams with specialist knowledge where required.
- You will contribute to business success by driving the completion of learner evaluations and identifying and referring opportunities for improvement.
- You’ll take ownership for your own continuous professional development to ensure up-to-date and relevant delivery.
What do I need to succeed?
- A background in training in Data Science & AI.
- Experience with one or more of the following tools: PyTorch, Python, R, C#, Java.
- Desirable: experience with one or more Cloud-native data services, such as AWS, Azure.
- Experience of data science related technologies or strong understanding of statistics and programming skills.
What We'll Do For You!
- Competitive salary with a whole host of excellent benefits!
- 3 full training days from a wide range of courses.
- Continuous performance development.
- 27 days annual leave.
- 2 days off for charity work.
- Work for a company that promotes Wellbeing (Mindfulness classes, fitness classes, wellbeing campaigns throughout the year with QA's approved listeners).
- Work with some of the biggest brands there are!
- Hybrid working.
At QA, our mission is to help everyone find their place in the world. This means we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our mission by ensuring that our place can be anyone's place. At QA, we’re 100% committed to breaking down barriers, eliminating discrimination and ensuring equal opportunities so that diversity can flourish here. As a market leader in digital education, it’s our duty to drive diversity & inclusion not only for ourselves, but also the wider industry, the clients we serve and the communities in which we work.
If this sounds interesting and suitable, please don’t hesitate to apply by clicking on the application button below which will take you through to our online short application form (it only takes a couple of minutes to complete).
Vacancy location: UK, Other, Home Based
Data Science & AI Trainer employer: QA Limited
Contact Detail:
QA Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science & AI Trainer
✨Tip Number 1
Familiarise yourself with the latest trends in Data Science and AI. This will not only help you during interviews but also show your passion for the field. Engage with online communities or attend webinars to stay updated.
✨Tip Number 2
Network with professionals in the industry, especially those who work in training roles. LinkedIn is a great platform for this. Reach out to current trainers at QA or similar companies to gain insights into their experiences.
✨Tip Number 3
Prepare to discuss your teaching methodologies and how you adapt your lessons to different learning styles. Being able to articulate your approach to training can set you apart from other candidates.
✨Tip Number 4
Showcase any relevant certifications or courses you've completed in Data Science and AI. This demonstrates your commitment to continuous professional development, which is highly valued in training roles.
We think you need these skills to ace Data Science & AI Trainer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Data Science and AI training. Include specific tools you've worked with, such as PyTorch or Python, and any relevant teaching experience that aligns with the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for teaching and your background in Data Science and AI. Mention how your skills can contribute to QA's mission and how you align with their values of diversity and inclusion.
Highlight Continuous Professional Development: In your application, emphasise your commitment to continuous learning and professional development. Mention any recent courses or certifications you've completed that are relevant to the role.
Showcase Your Impact: Provide examples of how you've contributed to improvements in previous roles, whether through enhancing lesson plans or supporting business success. This will demonstrate your proactive approach and ability to drive results.
How to prepare for a job interview at QA Limited
✨Showcase Your Teaching Passion
Make sure to express your enthusiasm for teaching Data Science and AI. Share specific examples of how you've engaged learners in the past, as this role heavily focuses on delivering courses effectively.
✨Demonstrate Technical Proficiency
Be prepared to discuss your experience with tools like PyTorch, Python, R, C#, or Java. Highlight any projects or training sessions where you utilised these technologies, as they are crucial for the role.
✨Discuss Continuous Professional Development
QA values ongoing learning, so be ready to talk about how you keep your skills up-to-date. Mention any recent courses or certifications you've completed that relate to Data Science and AI.
✨Emphasise Adaptability and Flexibility
Since the position involves remote work and some travel, share your experiences working in flexible environments. Discuss how you manage your time and adapt to different teaching settings or learner needs.
