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QA Ltd

Data Science and AI Trainer (Government)

London
Posted 25 days ago
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Data Science and AI Trainer (Government) Home Based - Virtual delivery with requirement to deliver from QA centres and client sites

This position requires the successful candidate to obtain SC (Security Clearance)

Your role: As an expert in your field, you will deliver QA and vendor specific innovative, high-quality training in Data Science, GenAI, and Python to a wide range of clients. You will empower learners to apply their knowledge effectively in real-world scenarios. You’ll maintain high satisfaction scores, contribute as a subject matter expert, and collaborate across teams to support shared goals and continuous improvement.

In addition to training delivery, you’ll play a key role in shaping the future of learning by contributing insights to the design and development of cutting-edge courses. With strong technical expertise in GenAI, machine learning, Python, and the NumPy ecosystem, and desirable experience in AI frameworks and cloud platforms, you’ll stay at the forefront of industry trends through ongoing professional development and a passion for education

Role Responsibilities: Training Delivery: Deliver high quality and engaging training in line with polices, industry standards and regulatory requirements. Training Design and Development: Design and create engaging courseware that aligns to our client requirements, quality standards and provides demonstrable impact back in the learners’ workplace. Performance & Quality Metrics: Attain a consistent Trainer Satisfaction Score (TSAT) of 88%+ and achieve ‘Meeting Expectations’ in trainer observations, utilise feedback to improve performance and effectiveness of training, conduct peer observations providing constructive feedback. Subject Matter Expertise: Act as an SME utilising your in-depth knowledge to contribute insights to internal discussions, client programmes and collaborate cross functionally Communication: Collaborate effectively across teams, maintaining professional proactive communication with internal and external stakeholders Contribution: Support team objectives and initiatives, demonstrate accountability and reliability showing flexibility to adapt to priorities Continuous Professional Development: Proactively maintain industry recognised certifications, engage in continued learning to stay up to date with industry trends, emerging tech and best practices

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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Your Experience: Excellent presentation, facilitation, and coaching skills to effectively deliver complex technical content in an engaging and interactive manner virtually and/or in-person Ability to connect with diverse audiences including technical and non-technical professionals Training Design and Development Proven ability to design and develop engaging, learner-centric courseware tailored to diverse audiences and delivery formats (virtual and in-person). Skilled in translating complex technical concepts into accessible, structured learning experiences that drive real-world application and impact. Experience in applying instructional design principles and adult learning theory to create interactive, outcome-focused training materials. Ability to collaborate with subject matter experts and stakeholders to ensure course content meets client requirements, industry standards, and regulatory expectations. Skills and Technical Proficiency Strong knowledge of GenAI concepts, applications and prompt engineering Proficient in GenAI concepts, machine learning techniques, and Python programming, with strong familiarity with the NumPy ecosystem. Industry Knowledge & Experience Desirable hands-on experience with leading AI frameworks (e.g. TensorFlow, PyTorch) Familiarity with cloud platforms (AWS, GCP, Azure) Experience working with AI/ML engineers, data scientists, and other data professionals Wider Requirements Passion for education, technology, and empowering others through knowledge sharing Qualifications: Desirable degree in Mathematics or related field Desirable MSc/PhD in Data Science, AI, Computer Science, or relevant certifications Desirable relevant cloud vendor (GCP, AWS, Azure) certifications

About Us Wellbeing & benefits Your wellbeing matters to us. That’s why we offer benefits designed to help you recharge and thrive, including: 27 days Annual Leave (4 days used for the festive closure) plus Bank Holidays Holiday Buying scheme Medicash plan, Wellhub, Cycle to Work scheme Private Medical Insurance at corporate rates Employee Assistance Programme Employee Discounts Benefit Hub 3 Development days 2 Charity days per year Pension Scheme Early Friday Finish at 4pm

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Personal growth Learning and opportunity is at the core of what we do - and that applies to you too! You’ll have the unique opportunity to develop your skills on our QA authored courses in the latest tech (you’ll get 3 training days/year to do this). You can also delve deep into our world-class digital learning content on a variety of tech and business topics. Orperhaps you’d like to enrol on a Degree or Masters programme to enhance your skillset or learn new things.

Our people We are an equal opportunity employer, focused on promoting a welcoming and inclusive environment. We embrace diversity, welcome applications from all candidates and aim to support the career growth of everyone. This means no matter what your gender, age, ethnicity, beliefs, or sexual orientation, or if you are disabled or a carer, we welcome you and the different perspectives you bring to our diverse family. We’re proud of the progress we’ve achieved over the last few years to build an inclusive culture and celebrate our diversity.

As a Disability Confident Employer, we guarantee that all applicants with a disability who meet the role criteria will progress to the next stage of the process. Please let us know if you require any reasonable adjustments.

A little about QA At QA, we believe the future belongs to organisations that are able to learn, master and apply new skills at pace and scale. As the largest tech training company in the UK and the fastest growing in the US, we partner with 96% of the FTSE and most of the Fortune 500. We have served over 4,000 customers and 1+ million learners in the last 3 years.

Our Mission: We teach the critical AI, technology, digital and Human skills needed to transform and succeed in a changing world.We do this through tailored learning programmes that connect learning across an organisation, create continuity for learners, and feature collaborative, cohort-based modalities to apply skills at pace and at scale. Our unique end-to-end learning solutions draw from deep expertise across Apprenticeships, Instructor-led training, Self-paced Learning and Blended Learning.

You can find out more about us at https://www.qa.com/about/careers/

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Skills

Data Science
AI
Python
GenAI
Machine Learning
NumPy
Instructional Design
Adult Learning Theory
Cloud Platforms
TensorFlow
PyTorch
Presentation Skills
Facilitation Skills
Coaching Skills
Communication Skills
Collaboration

Location

London, England, United Kingdom

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