Analyst

Description du poste:

Are you a student or recent graduate passionate about data, AI, and solving real-world problems through experimentation and innovation? Our Data & Analytics team is offering a 3-month internship focused on AI experiments and initiatives, and we're looking for curious, driven individuals to join us
What You'll Gain During Your 3-Month Internship:
* Hands-on experience working on real AI initiatives that tackle genuine business challenges
* Mentorship and guidance from experienced data scientists and analysts to support your growth
* Exposure to enterprise-level tools and platforms, giving you insight into how data and AI are used in industry
* The opportunity to contribute to meaningful projects with real-world impact, building your portfolio and confidence

This is a 3 month Fixed Term Contract opportunity.

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 our 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.
If we receive a high volume of relevant applications, we may close the advert earlier than the advertised date, so please apply as soon as you can.

The extras you'll get

There are all sorts of employee benefits available at Nationwide, including:

* 25 days holiday, pro rata
* From January 2026, all colleagues will have access to fully funded private medical insurance
* A personal pension - if you put in 7% of your salary, we'll top up by a further 16%
* Access to an annual performance related bonus
* Access to training to help you develop and progress your career
* A great selection of additional benefits through our salary sacrifice scheme
* Life assurance worth 8x your salary
* Wellhub - access to a range of free and paid options for health and wellness
* Up to 2 days of paid volunteering a year

Banking - but fairer, more rewarding, and for the good of society
We forge our own path at Nationwide.
As a mutual, we're owned by our members - those customers who bank, save or have a mortgage with us. We challenge the financial sector status quo. We don't see customers as the engine of our own profit. We share our profits with them and put their needs first. Always there when they need us. Supporting them and their lives.
If you're inspired by fairer finances, passionate about making a meaningful impact, and truly care about our customers, you're one of us.
At Nationwide, you are challenged to grow and rewarded for doing so. Valued. Recognised. Inspired to be your best. As a community we want our working lives to count. As a team, we celebrate what we achieve. As a standard-setter, we work for the good of customers, communities, and broader society.
We are purpose-driven. Uncompromisingly customer. Unstoppably Nationwide.

What to do next

If this role is for you, please click the 'Apply Now' button. You'll need to attach your up-to-date CV and answer a few quick questions for us.

We respond to everyone, so we will be in contact shortly after the closing date to let you know the outcome of your application

Profil requis du candidat:

What you'll be doing

You'll be part of a dynamic team exploring cutting-edge AI applications across our business. Example projects include Designing and testing machine learning models using real-world datasets, experimenting with synthetic data generation and validation, applying computer vision techniques to solve operational challenges. Supporting AI proof-of-concept initiatives and pilot deployments

About you

We're looking for individuals with a strong foundation in data science and a passion for AI experimentation.
* Programming skills: Python (e.g., Pandas, Scikit-learn, TensorFlow, OpenCV)
* Data analysis tools: SQL, Power BI, Excel
* Machine learning experience: Supervised/unsupervised models, synthetic data, or computer vision
* Project experience: Academic or personal projects involving AI, ML, or data engineering

Our customer first behaviours put customers and members at the heart of how we work together. They are the set of behaviours that every colleague needs to display, in every role:
* Feel what customers feel - We step into our customers' shoes, using their feedback and insights to empathise with them and to understand their needs, so that every decision we make starts and finishes with our customers in mind
* Say it straight - We are brave in speaking out and saying what we think - we're honest and direct with good intent, openly sharing diverse perspectives to reach the best conclusions and using language everyone can understand
* Push for better - We don't settle for mediocrity, we challenge the status quo, taking responsibility for continuous improvement and personal development
* Get it done - We prioritise what will have the greatest impact, we are decisive, and we take accountability for delivering brilliant customer outcomes.
You can strengthen your application by showing how our customer first behaviours resonate with you, and where you may have already demonstrated these