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Nationwide

AI, Data & Machine Learning Engineer E1

Swindon
Posted about 13 hours ago
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Join our Enterprise AI & Data team and help build the data and AI capabilities that power better outcomes for customers, colleagues and the Society.

As an AI, Data & Machine Learning Engineer, you will work as part of a multidisciplinary team to develop and support data products, machine learning models and AI solutions that solve real business problems.

You'll help create reliable data pipelines, prepare and transform data for analytics and machine learning, and contribute to the deployment and monitoring of AI solutions in production. Working closely with engineers, data scientists, product owners and business experts, you will apply modern engineering practices to deliver secure, scalable and well-governed solutions.

This is an excellent opportunity for someone with a strong foundation in software engineering, data engineering or analytics who wants to develop their expertise in machine learning, artificial intelligence and cloud technologies while working on meaningful customer and colleague outcomes.

Reasons to use Rodeo

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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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

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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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

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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Strong

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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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

At Nationwide we offer hybrid working wherever possible. More rewarding relationships are supported through our hybrid approach, bringing colleagues together across our UK wide estate, whilst also supporting generous access to home working. We value our time in the office to solve problems, to learn, and to feel connected.

For this job you'll spend at least two days per week, or if part time you'll spend 40% of your working time, based at either our Swindon or London office. If your application is successful, your hiring manager will provide further details on how this works. You can also find out more about our approach to hybrid working here [https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnationwide-jobs.co.uk%2Flife-at-nationwide%2Frewarding-you&data=05%7C02%7CSamantha.Graham%40nationwide-jobs.co.uk%7Cc3d3225d77e54ab5a92008dedc2cceff%7C18ed93f5e4704996b0ef9554af985d50%7C0%7C0%7C639190282163461695%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=PC5Y9xpYWimDrh3FYkvbMMF87I34nF17ytwWljcifjI%3D&reserved=0].

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Skills

Data engineering
Machine learning
Artificial intelligence
Software engineering
Data pipelines
Cloud technologies
Analytics
Data transformation
Model deployment
Model monitoring
Scalable solutions
Secure engineering

Location

Swindon, UK

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