Data Scientist

Nationwide; Bournemouth; Hybrid; GBP 35,000 - 50,000; Full time

Job summary

A leading financial services provider in Bournemouth seeks an Associate Data Scientist. The role involves supporting data science projects, developing models, and using AI techniques to enhance customer engagement. Candidates should have a strong background in data science, machine learning, and programming. This position offers hybrid working and a variety of employee benefits, along with a commitment to customer-first practices.

Benefits

Personal pension scheme

Paid volunteering time

Life assurance

Health and wellness options

Annual performance-related bonus

Career development training

25 days holiday, pro rata

Qualifications

• Knowledge of mathematical modelling and advanced analytics techniques.
• Good working knowledge of developing machine learning models.
• Experience with structured data sets.

Responsibilities

• Support data science projects covering the end-to-end model lifecycle.
• Assist in building and deploying predictive models.
• Present work to key stakeholders.

Skills

Mathematical modelling

Analytical skills

Machine learning

Programming (Python/SAS)

Problem-solving skills

Effective communication

Presentation skills

Education

Bachelor's degree in Data Science or related field

Tools

SAS

Python

Job description

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 within the Customer, Brand and Engagement 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 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.

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, Swindon, 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.
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 could include cleaning, analysing and visualising data to uncover insights;
• assisting in building and deploying predictive models to enhance customer experience;
• learning best practices in machine learning, statistics and big data processing;
• presenting your work back to key stakeholders, and be part of how to put models into production for Nationwide to benefit from your work.

About you

As a Data Scientist, you will have good knowledge of mathematical modelling and advanced analytics techniques to deliver solutions to business problems. 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 leverage the latest approaches in advanced analytics techniques.

As a minimum you'll have:

• a bachelor's degree in data science, mathematics, statistics, computer science or related field, or equivalent relevant qualification/work experience;
• good working knowledge of developing machine learning models using advanced analytical techniques;
• experience working with structured data sets;
• experience in programming languages, SAS preferred, and/or Python;
• good 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;
• good presentation skills to bring data science and analytical findings to life.

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:

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

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 Associate Data Scientist.

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