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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 focused on upskilling talent.
- Benefits: Enjoy flexible hours, competitive salary, 27 days leave, 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 work with occasional travel; commitment to breaking down barriers and promoting inclusion.
The predicted salary is between 28800 - 43200 £ 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).
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
Network with professionals in the Data Science and AI fields. Attend relevant webinars, workshops, or local meetups to connect with others who may have insights into the role or the company. Building relationships can often lead to referrals or insider information about job openings.
✨Tip Number 2
Showcase your teaching experience by creating a portfolio of your training materials or courses you've delivered. This can include lesson plans, feedback from learners, or any innovative teaching methods you've employed. A strong portfolio can set you apart during the interview process.
✨Tip Number 3
Stay updated on the latest trends and technologies in Data Science and AI. Follow industry leaders on social media, subscribe to relevant newsletters, and participate in online forums. Demonstrating your knowledge of current developments can impress potential employers during discussions.
✨Tip Number 4
Prepare for the interview by anticipating questions related to both technical skills and teaching methodologies. Be ready to discuss how you would approach delivering complex topics to diverse audiences. Practising your responses can help you feel more confident and articulate during the actual interview.
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.
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 align with the company's mission and values, particularly their commitment to diversity and inclusion.
Showcase Continuous Learning: Emphasise your commitment to continuous professional development. Mention any recent courses or certifications you've completed that are relevant to Data Science and AI, as this aligns with the company's focus on upskilling.
Highlight Your Impact: In your application, provide examples of how you've contributed to improvements in previous roles. This could include enhancing lesson plans or supporting business success through learner evaluations, which is key for this position.
How to prepare for a job interview at QA Limited
✨Showcase Your Teaching Experience
Make sure to highlight your previous experience in training or teaching Data Science and AI. Be prepared to discuss specific courses you've delivered and the impact they had on learners.
✨Demonstrate Technical Proficiency
Familiarise yourself with the tools mentioned in the job description, such as PyTorch, Python, R, C#, and Java. Be ready to discuss how you've used these tools in practical scenarios.
✨Emphasise Continuous Learning
QA values continuous professional development, so be sure to mention any recent courses or certifications you've completed. Discuss how you stay updated with the latest trends in Data Science and AI.
✨Align with Company Values
Research QA's commitment to diversity and inclusion. Be prepared to share your thoughts on how you can contribute to a supportive and inclusive learning environment for all students.
