At a Glance
- Tasks: Lead data science initiatives, mentor teams, and drive innovative projects.
- Company: Join Nationwide Building Society, a leader in financial services focused on customer needs.
- Benefits: Enjoy flexible working, generous holidays, and a strong pension scheme.
- Why this job: Be part of a dynamic team shaping the future of marketing through data-driven insights.
- Qualifications: Proven experience in data science leadership and a relevant qualification required.
- Other info: Hybrid working model with at least two days in the office.
The predicted salary is between 43200 - 72000 £ per year.
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 Lead Data Science Manager within the Personalisation & Performance Marketing function at Nationwide Building Society, you’ll be responsible for multiple data science initiatives, driving innovation, and shaping the team's strategic direction. You’ll lead high-impact projects, mentor managers, and ensure data science solutions align with Nationwide goals.
With the proliferation of data, and the increased use of AI, automation and transformation, the way that marketing operates is changing. 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 or London office. If your application is successful, your hiring manager will provide further details on how this works.
What you will be doing
- Leading multiple data science team members, setting priorities, and defining roadmaps for multiple projects concurrently;
- Driving cross-functional collaboration between data science, engineering and other teams within Marketing and the wider Nationwide team to ensure an extensive range of data is available to Marketing and used effectively;
- Identifying and prioritising analytics deliverables to meet the broader team and functional goals and targets;
- Delivering a range of advanced analytics and data science projects that enhance our marketing activity and deliver great customer outcomes;
- Ensuring best practices in data engineering, model development, deployment, and monitoring;
- Advocating for data science-driven decision making across the organisation;
- Supporting career growth and technical excellence within the data science function;
- A beacon for innovation and delivering new ideas to significantly increase the use of data and draw out insight.
About You
We are looking for someone who is up for a challenge – tenacious, positive and passionate about analytics and data. We are looking for proven experience in data science where you can bring your experience to the role whilst being willing to try new approaches and have a learning mindset. As a Lead Data Science Manager, you will have strong proven experience in leading data science teams that have a strong record of driving tangible deliverables. You will be someone who displays the right values, attitude, and behaviours – not only to fit in with our highly professional and friendly team, but also to be an ambassador for our function across Nationwide.
As a minimum you’ll have:
- A relevant qualification in a data science, mathematics, statistics, computer science or related field, and a track record which demonstrates capability in these areas;
- Extensive experience in machine learning, big data technologies and a range of data science techniques;
- Proven leadership in managing data science teams and delivering AI-driven solutions;
- Deep expertise in model deployment, MLOps, CI/CD and cloud-based architectures;
- The ability to translate business challenges into data engineering and data science/machine learning problems;
- Strong stakeholder management and communication skills;
- Strong influencing skills and the ability to lead professional business relationships at various levels across Marketing and the Society.
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 will 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
Lead Data Science Manager (London Area) employer: Nationwide Building Society
Contact Detail:
Nationwide Building Society Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Science Manager (London Area)
✨Tip Number 1
Familiarise yourself with the latest trends in data science and AI, especially those relevant to marketing. Being able to discuss current innovations and how they can be applied at Nationwide will show your passion and expertise during interviews.
✨Tip Number 2
Network with professionals in the data science field, particularly those who work in marketing or financial services. Engaging with industry peers can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Prepare to demonstrate your leadership skills by sharing specific examples of how you've successfully managed data science teams and projects. Highlighting your ability to drive results and mentor others will resonate well with the hiring team.
✨Tip Number 4
Showcase your understanding of Nationwide's customer-first behaviours in your conversations. Be ready to explain how you’ve applied similar principles in your previous roles to enhance customer engagement through data-driven decisions.
We think you need these skills to ace Lead Data Science Manager (London Area)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly in leadership roles. Emphasise your achievements in driving data-driven projects and your ability to mentor team members.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and how it aligns with Nationwide's customer-first approach. Provide specific examples of how you've successfully led teams and delivered impactful results.
Showcase Relevant Skills: Clearly outline your expertise in machine learning, big data technologies, and model deployment. Mention any experience you have with cloud-based architectures and how you've translated business challenges into data solutions.
Demonstrate Cultural Fit: Reflect on Nationwide's customer-first behaviours in your application. Share instances where you've empathised with customers, challenged the status quo, or taken accountability for delivering excellent outcomes.
How to prepare for a job interview at Nationwide Building Society
✨Showcase Your Leadership Experience
As a Lead Data Science Manager, it's crucial to highlight your experience in leading teams. Prepare specific examples of how you've successfully managed data science projects and mentored team members, demonstrating your ability to drive results and foster collaboration.
✨Emphasise Your Technical Skills
Make sure to discuss your expertise in machine learning, big data technologies, and model deployment. Be ready to explain complex concepts in simple terms, as this will showcase your communication skills and ability to translate technical challenges into business solutions.
✨Align with Customer First Behaviours
Familiarise yourself with Nationwide's customer first behaviours and think of examples from your past experiences that resonate with these values. Showing that you understand and embody these principles will demonstrate your fit within the company culture.
✨Prepare for Cross-Functional Collaboration Questions
Given the role's emphasis on collaboration between data science, engineering, and marketing teams, be prepared to discuss how you've successfully worked across different functions in the past. Highlight your stakeholder management skills and how you've influenced decisions in a collaborative environment.