Data & AI Literacy Trainer

Data & AI Literacy Trainer

Full-Time 36000 - 60000 € / year (est.) Home office (partial)
Nest Corporation

At a Glance

  • Tasks: Train and empower colleagues in data and AI tools for effective decision-making.
  • Company: Join Nest, the UK's largest workplace pension scheme, committed to innovation.
  • Benefits: Flexible working, generous training budget, and a supportive environment.
  • Other info: Inclusive workplace with diverse opportunities for personal growth.
  • Why this job: Make a real impact by building a data-driven culture in a growing sector.
  • Qualifications: Expertise in Data & AI principles and experience in training others.

The predicted salary is between 36000 - 60000 € per year.

It’s an exciting time of growth for Nest and the Pension sector. We’re looking for a Data & AI Literacy Trainer to support our enterprise-wide strategic goals around data-driven decision making, and responsible AI adoption. You will be responsible for building Nest into a data and AI enabled workforce. This role blends technical expertise with adult learning principles. You will educate, upskill and empower colleagues at all levels to use data and AI tools effectively and with confidence.

Are you a natural at training others in technical topics? Champion others' Personal Development? Can you design, deliver and always improve the organisation's learning experiences to build data & AI literacy? If yes, we want to hear from you.

Role Responsibilities

  • Deliver engaging and interactive learning sessions across core data and AI concepts, tailoring materials to the needs of different groups and ensuring materials align with agreed learning objectives.
  • Develop training materials that are relevant by staying up to date with current and emerging tools and technologies.
  • Define skills pathways by translating the business strategy and Data & AI roadmap.
  • Support a culture where data informs and drives decision making, solutions and business value.

Minimum Criteria / Qualifications

  • Subject matter expertise in core Data & AI principles, governance and practices such as data pipelines, analytics, machine learning and GenAI.
  • Experience of training others in Data & AI, preferably in Pension or Financial Services sector.
  • Practical knowledge and familiarity with specific AI tools, especially Microsoft 365 Copilot.
  • Experience in developing and scaling creative literacy initiatives (e.g. Data and/or AI Champion initiatives, personalised learning plans, peer learning groups).
  • Demonstrable experience in instructional design and adult learning theories, development, programme design, delivery and facilitation.
  • Ability to translate complex technical concepts into commercial business value using accessible language.
  • Proven ability to build relationships and credibility across diverse stakeholders.

Don’t worry if you think you don’t have all the key skills; it might be worth taking a few minutes to apply as we’re good at spotting potential and offer a generous training budget.

Work Arrangements

  • Flexible and agile working.
  • Hybrid of office (Canary Wharf, London) and home working (there will be an expectation to attend the office once - twice a week, or more, as required).
  • Reduce or vary working hours and days worked.
  • Work compressed hours or job share.

Directorate / Department Overview

Nest is undergoing a transformation to use its data and insight to drive decision making. The Data, Analytics & Customer Insight (DACI) Team leads how we do it: putting our customers at the heart of our work and helping colleagues to understand and use our data. Our work enables Nest to continually learn, improve how we work, and create value so that we can deliver a better retirement for millions.

Diversity, Equity and Inclusion

Everyone is welcome to apply for our roles, and we are determined to ensure that no applicant or employee receives less favourable treatment because of age, disability, gender identity, marital status, national origin, pregnancy or caring responsibilities, race, religion/belief, sex, sexual orientation or socio economic background. We recognise diversity of thought and other forms of neurocognitive variation. Nest is a Disability Confident Leader. If you have a disability, please declare that you’re applying through the scheme.

If you have any difficulty in sending your application or need the application pack in an alternative format, or you require any reasonable adjustments please contact: careers@nestcorporation.org.uk.

Data & AI Literacy Trainer employer: Nest Corporation

Nest is an exceptional employer, offering a dynamic work environment in Canary Wharf, London, where innovation meets inclusivity. With a strong commitment to employee development, we provide generous training budgets and flexible working arrangements that empower our team to thrive both personally and professionally. Join us in shaping the future of data-driven decision making while enjoying a culture that values diversity and fosters growth.

Nest Corporation

Contact Detail:

Nest Corporation Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Data & AI Literacy Trainer

Tip Number 1

Get to know the company culture! Before your interview, do a bit of research on Nest and its values. This will help you tailor your responses and show that you're genuinely interested in being part of their team.

Tip Number 2

Practice makes perfect! Run through common interview questions related to data and AI literacy training. Think about how you can showcase your experience in a way that aligns with what Nest is looking for.

Tip Number 3

Show off your teaching skills! Prepare to discuss specific examples of how you've successfully trained others in data and AI concepts. Use engaging stories to illustrate your impact and approach.

Tip Number 4

Don’t forget to ask questions! At the end of your interview, have a few thoughtful questions ready about the role or the team. This shows your enthusiasm and helps you gauge if it's the right fit for you.

We think you need these skills to ace Data & AI Literacy Trainer

Data Literacy
AI Literacy
Training and Development
Instructional Design
Adult Learning Principles
Data Pipelines
Analytics

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your application to highlight how your skills and experiences align with the Data & AI Literacy Trainer role. Use keywords from the job description to show that you understand what we're looking for.

Showcase Your Training Experience:Since this role is all about training others, share specific examples of your past training experiences. Talk about how you made complex topics accessible and engaging for your audience – we love a good story!

Keep It Clear and Concise:While we want to know all about you, keep your application clear and to the point. Avoid jargon unless it’s relevant, and make sure your passion for data and AI shines through without overwhelming us with too much info.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and helps us spot your potential quickly. Don’t miss out on this opportunity!

How to prepare for a job interview at Nest Corporation

Know Your Stuff

Make sure you brush up on core Data & AI principles, especially those relevant to the Pension sector. Familiarise yourself with tools like Microsoft 365 Copilot and be ready to discuss how these can drive decision-making and business value.

Tailor Your Approach

Since you'll be training diverse groups, think about how you can adapt your communication style. Prepare examples of how you've successfully tailored learning experiences in the past, showcasing your ability to engage different audiences.

Showcase Your Training Skills

Be ready to share specific instances where you've designed and delivered training sessions. Highlight your experience with adult learning theories and how you've used them to create effective learning materials that resonate with participants.

Build Relationships

Demonstrate your ability to connect with stakeholders across various levels. Prepare anecdotes that illustrate how you've built credibility and fostered collaboration in previous roles, as this will be key in empowering colleagues to embrace data and AI.