Junior Data Scientist — Hybrid

London, United Kingdom
Swindon, United Kingdom

Data Science is central to how we decide the right messages to send to our customers to help them with their financial needs at the moments that matter most. As a Data Scientist within the Group Customer & Communications function, you'll be at the start of your data science journey, working alongside experienced team members to develop models, analyse data, and build impactful solutions.

You'll gain hands-on experience in real-world challenges while contributing to meaningful projects. With the proliferation of data and the increased use of AI, automation and transformation are changing the way that marketing operates. In such a fast-paced environment, we are continuously looking to improve how we engage with our customers to provide value to them. We do this by being more data-led and using new and innovative techniques.

We are happy to consider flexible working approaches to help you perform at your best.

The working hours (per week) for this role can be between 28 and 35 hours.

This is a 9-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 either our London or Swindon 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.

Uncompromisingly Customer, whatever our role

The extras you’ll get

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

Private medical insurance

A highly competitive pension to help you build a strong foundation for retirement

Access to an annual performance-related bonus

Training and development to help you progress your career

A great selection of additional benefits through our salary sacrifice scheme

Life assurance to provide peace of mind for you and your loved ones in the event of your death

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.

Banking - but fairer, more rewarding, and for the good of society

What you’ll be doing

Reporting to a Data Science Manager, you will be supporting data science projects covering the end-to-end model lifecycle. This will include cleaning, analysing and visualising data to uncover insights.

You’ll be assisting in building and deploying predictive models to enhance customer experience whilst learning best practices in machine…