AI, Data & Machine Learning Engineer E1

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.

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.

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.

What you’ll be doing

You'll spend your day building and enhancing data pipelines, preparing data for analysis and machine learning, and supporting the delivery of AI products that solve business challenges. You'll work closely with engineers, data scientists and business stakeholders to understand requirements and turn them into reliable technical solutions. You'll contribute to testing, deploying and monitoring machine learning models while maintaining high standards of quality, security and governance. You'll continuously learn and apply new technologies, helping the team improve the way data and AI solutions are developed and operated.

About you

To be successful in this role, you'll have: 

• Practical experience building, maintaining or supporting data pipelines and data processing solutions in a commercial or academic environment. 
• Demonstrable proficiency in SQL and at least one programming language such as Python. 
• Knowledge of machine learning concepts, including model development, evaluation and deployment fundamentals. 
• Experience working with cloud-based data or analytics platforms and services. 
• Understanding of software engineering practices, including testing, version control and code quality standards. 
• Strong analytical and problem-solving skills, with examples of using data to solve complex business or technical challenges. 
• Ability to communicate technical concepts clearly and effectively to both technical and non-technical stakeholders. 

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.

The extras you’ll get

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

• 25 days holiday, pro rata

• 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.

Please note that should you be successful in securing this role, the job title on our internal systems will be Engineer E1.