At a Glance
- Tasks: Lead and support teams in adopting machine learning on Databricks.
- Company: Nationwide Building Society, a leader in financial services.
- Benefits: Flexible working, hybrid model, and a supportive team environment.
- Other info: 12-month secondment with excellent career development opportunities.
- Why this job: Make a real impact by driving machine learning initiatives across the organisation.
- Qualifications: Experience in data science and strong stakeholder engagement skills.
The predicted salary is between 60000 - 80000 £ per year.
Nationwide Building Society has adopted Databricks as the strategic Machine Learning (ML) platform within the business.
The role will play a key part in helping us realise its full value across the organisation.
This role will combine technical leadership, enablement and stakeholder engagement to help teams adopt and scale machine learning effectively.
The successful candidate will work with technical and non-technical stakeholders, supporting both new and established Machine Learning users to deliver practical, high-quality solutions on Databricks.
We are happy to consider flexible working approaches to help you perform at your best. This is a 12-month secondment 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.
Nationwide is committed to the redeployment of our employees impacted by change, as such applications for redeployment candidates will be prioritised in this recruitment process.
If you’re a colleague on long‑term absence (for example, on parental leave) or a temporary worker, please use your personal email address to submit an application.
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Senior Data Scientist employer: Nationwide
At Virgin Money, we pride ourselves on being an exceptional employer, offering a supportive and dynamic work environment in Cleckheaton. Our commitment to employee growth is evident through ongoing training and development opportunities, alongside a competitive benefits package that includes generous holiday allowances, health and wellness resources, and a strong pension plan. Join us to be part of a team that values customer care and community impact, where your contributions are recognised and celebrated.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Nationwide before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
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We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Nationwide, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Nationwide, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Nationwide’s attention and show the tangible impact of your work.
How to prepare for a job interview at Nationwide
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Nationwide.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Nationwide.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Nationwide.
