Data Scientist

Nationwide; Swindon; Hybrid; GBP 45,000 - 60,000; Full time

Job summary

A leading financial services provider is seeking a Data Scientist in Swindon to develop and deploy machine learning models, analyze customer behavior, and support data-driven decisions. The role emphasizes collaboration with teams to solve complex business problems and requires a bachelor's degree and proficiency in SAS. Flexible working options are available, reflecting the company's commitment to employee satisfaction while ensuring high-quality service delivery.

Benefits

Private medical insurance

Competitive pension

Annual performance-related bonus

Training and development

Salary sacrifice benefits

Life assurance

Health and wellness options

Paid volunteering days

Qualifications

• Strong background in data science with a focus on advanced analytical techniques.
• Experience with structured and unstructured data.
• Ability to present data findings clearly to varying audiences.

Responsibilities

• Lead and support data science projects throughout the entire model lifecycle.
• Collaborate with stakeholders to define business requirements and translate them into data solutions.
• Mentor junior data scientists and help develop their skills.

Skills

Proficiency in SAS

Analytical problem-solving

Effective communication

Machine learning model development

Customer empathy

Education

Bachelor's degree in data science, mathematics, statistics, computer science or related field

Job description

Swindon, United Kingdom
London, United Kingdom
Northampton, United Kingdom
Bournemouth, United Kingdom

Data Science is central to how we decide the right messages to send to our customers that will help them with their financial needs at the moments that matter most. As a Data Scientist, you'll play a key role in developing and deploying machine learning models, analysing customer behaviour, and supporting data-driven decision-making. You'll be seen as a technical subject matter expert, exploring the latest modelling techniques, be proficient in feature engineering, and utilise advanced analytics to solve a variety of business problems.

With the proliferation of data, and the increased use of AI, automation and transformation is 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.

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, London, Northampton or Bournemouth 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:

• Access to 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

As a Data Scientist, you will be hands-on with data science projects, ranging from strong data engineering activities by utilising data to create meaningful real-time customer experiences to building strong predictive models and other such advanced analytics solutions using SAS. In addition to having a passion for data science, you are resourceful and innovative in your approaches to solving problems. Your fresh ideas and innovative thinking will underpin the manner in which Nationwide tackles its most value-driving initiatives by leveraging the latest approaches in advanced analytics techniques. You will work closely with teams across Marketing and the wider Society to understand business needs and translate these into using data or creating new features and building machine learning solutions.

Reporting to a Data Science Manager, you will lead the delivery of data science projects covering the end-to-end model lifecycle alongside developing and optimising predictive models, engineering new features and data transformations to improve model performance and to support business processes. You’ll collaborate with other data scientists and build strong relationships with key stakeholders whilst mentoring and supporting more junior data scientists.

About you

• A bachelor's degree in data science, mathematics, statistics, computer science or related field, and a track record which demonstrates capability in these areas
• Proficiency in the programming language SAS
• Working knowledge of developing machine learning models using advanced analytical techniques
• Hands‑on experience with structured and unstructured data sources
• Comprehensive analytical and problem‑solving skills to understand and interpret business data in a variety of areas
• Effective communication skills to collaborate with team members across the business
• Excellent presentation skills to bring data science and analytical findings to life to both technical and non‑technical audiences
• Experience in financial services

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.

Job Info

• Job Identification 362
• Apply Before 02/08/2026, 11:55 PM
• Locations Nationwide House, Swindon, Wiltshire, SN38 1NW, GB Richmond Hill, Bournemouth, Dorset, BH2 6EP, GB Kings Park Road, Northampton, Northamptonshire, NN3 6NW, GB 1 Threadneedle Street, London, Greater London, EC2R 8AY, GB