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Head of Security Data and AI Lab

Lloyds Banking Group

City of Westminster

On-site

GBP 40,000 - 60,000

Full time

Today
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Job summary

A prominent financial institution in the UK is seeking a Data Science and AI Industrial Placement candidate. The successful applicant will join a team focused on leveraging data to support strategic decisions, engaging with real-time data analytics and projects within a dynamic office environment. This opportunity offers training, development, and the chance to grow your skills in a fast-paced setting while making a tangible impact on organizational outcomes.

Benefits

Training and Development
Competitive Salary
Dynamic Work Environment

Qualifications

  • Ability to work with data effectively.
  • Capacity to drive impactful decisions through data.

Responsibilities

  • Contribute to data-driven decision-making.
  • Assist in various projects across the analytics office.
Job description
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We've built expertise in data analytics, data governance, or business analysis. You've solved real problems, navigated ambiguity, and know what good looks like in your field. Now you want to do something different with that experience – coaching working professionals to build the same capabilities. You bring deep expertise in at least one area. If you haven't coached before, we'll train you. Full-time or part-time, London or elsewhere in the UK – we want to hear from you.

About iO Sphere Traditional training is broken. People finish courses with theory but no real capability – the experience gap. We solve that. At iO Sphere, learners don't sit through lectures. They come to work in PRISM, our fully simulated company with 500m+ rows of real data, where they tackle realistic business problems and build practical skills they can use immediately. Combined with high‑touch coaching from people who've actually done the work, we deliver real capability development – not just content consumption.

We also know that technical skills alone don't make someone great at their job. That's why our programmes develop the full skill set: analytical thinking, problem‑solving, business acumen, communication and professional skills. We're training people to be effective in the workplace, not just pass a test. We're one of the UK's fastest‑growing Data & AI training companies, and we're building something genuinely different.

The Team & Culture
Our coaching team is exceptional – former data scientists, analytics directors, engineers, governance specialists and business analysts who decided to do something different with their expertise. You'd be joining a high‑performing, tight‑knit group that takes ownership, holds itself to a high bar and has a lot of fun doing it. We value people who take responsibility, move fast and care deeply about learner outcomes. If you thrive with autonomy and want your ideas to actually get implemented, you'll fit right in.

The Impact We're rated 4.9 stars on Google – and that's because of our coaches. You'll watch people transform from uncertain to confident, from struggling with the basics to leading with data in their organisations. The feels never get old. That's what makes it all worth it. We're also at an inflection point. 700+ learners trained, real momentum, and 2026 is when we scale – new programmes, new products, bigger team. If you want to join something early and grow with it, this is the time.

What You'll Do

  • Coach working professionals across our Data & AI programmes.
  • Your background will determine which areas you lead on – but unlike most coaching roles, you won't be stuck in one narrow lane. You'll contribute across programmes based on your strengths.
  • Data Analytics – SQL, Excel, Power BI, analytical thinking, data storytelling.
  • Data & AI Strategy – Data governance, AI governance, GDPR, risk, compliance frameworks.
  • AI Skills for the Future – AI tools, workflow automation, business analysis, change management.
  • Business Analysis – Requirements gathering, process mapping, stakeholder communication.
  • Day‑to‑day, this means:
  • Delivering engaging, practical coaching sessions in your area(s) of expertise.
  • Guiding learners through PRISM‑based projects using real, messy data.
  • Providing clear, constructive feedback on their work and how they communicate their thinking.
  • Coaching on the soft stuff too – critical thinking, stakeholder communication, professional presence.
  • Running 1:1 coaching conversations that build confidence and momentum.
  • Tracking learner progress and intervening early when someone's struggling.
  • Maintaining accurate records and evidence (we're regulated, so organisation matters).
  • Collaborating with the wider coaching and quality teams.
  • Shaping the programmes as you deliver them. These programmes are new and evolving.

Beyond skills‑levy programmes, you'll also coach on our applied diplomas and commercial training – different learner types, fresh challenges, and even more variety. Get involved as we grow. We're launching new products throughout 2026, and there's real opportunity to contribute beyond your core coaching role.

Must have – deep expertise in at least ONE of these areas:

  • Data Analytics – SQL, Excel, Power BI, turning data into insights that drive decisions.
  • Data Protection & Governance – GDPR, governance frameworks, risk, compliance, organisational controls.
  • Business Analysis – Requirements gathering, process/workflow mapping, stakeholder communication, translating business needs.
  • Plus: Ability to explain complex concepts to non‑technical people without dumbing them down.
  • You genuinely enjoy working with people and get energy from helping others succeed.
  • Right mindset: Takes ownership and follows through.
  • Eye for improvement – you notice what could be better.
  • Organised and reliable (we're regulated training, so this matters).
  • Comfortable in a fast‑moving environment.
  • No teaching qualifications required. If you haven't coached before, we'll train you and support you in gaining formal qualifications as part of your development.

Salary: £40,000‑£60,000 + bonus, depending on experience.

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