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- Tasks: Dive into data science, develop models, and analyse data to create impactful solutions.
- Company: Join Nationwide, a mutual company focused on customer-centric values.
- Benefits: Enjoy private medical insurance, competitive pension, performance bonuses, and wellness options.
- Why this job: Kickstart your data science career while making a real difference in customer engagement.
- Qualifications: Passion for data analysis and eagerness to learn from experienced team members.
- Other info: Flexible hybrid working model with opportunities for career growth and volunteering.
The predicted salary is between 28800 - 48000 £ per year.
Data Science is central to how we decide the right messages to send to our customers to help them with their financial needs at the moments that matter most. As a Data Scientist within the Group Customer & Communications 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 are 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, Bournemouth or Northampton office. If your application is successful, your hiring manager will provide further details on how this works.
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.
The extras you’ll get:
- 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
Are you a Virgin Money colleague? Take a look at the Cross-Company Careers Guidance on VMx where you'll find information on how we manage cross-entity hires.
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.
Associate Data Scientist in London employer: Nationwide
Contact Detail:
Nationwide Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at networking events. Ask them about their experiences and any tips they might have for landing a role at Nationwide.
✨Tip Number 2
Prepare for the interview by brushing up on your data science skills. Be ready to discuss real-world applications of your knowledge and how you can contribute to impactful projects at Nationwide.
✨Tip Number 3
Show your passion for data! During interviews, share examples of how you've used data to solve problems or improve processes. This will demonstrate your commitment to being data-led.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team.
We think you need these skills to ace Associate Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Associate Data Scientist role. Highlight relevant skills and experiences that align with data science, such as any projects or coursework you've done. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how you can help us improve customer engagement. Be genuine and let your personality come through – we love seeing the real you!
Showcase Your Skills: If you have experience with data analysis tools or programming languages, make sure to mention them! We’re looking for someone who can hit the ground running, so any hands-on experience will definitely catch our eye.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, you’ll find all the info you need about the role and our hybrid working approach there.
How to prepare for a job interview at Nationwide
✨Know Your Data Science Basics
Brush up on your fundamental data science concepts, especially those relevant to the role. Be prepared to discuss common algorithms, data analysis techniques, and how you would approach real-world problems using data.
✨Showcase Your Projects
Bring examples of your previous work or projects that demonstrate your skills. Whether it's a model you've built or an analysis you've conducted, be ready to explain your thought process and the impact of your work.
✨Understand the Company’s Values
Familiarise yourself with Nationwide's mission and values. Be ready to discuss how your personal values align with theirs, especially around customer focus and innovation in data-led solutions.
✨Prepare Questions for Them
Have a few thoughtful questions ready to ask your interviewers. This shows your interest in the role and helps you gauge if the company culture and team dynamics are a good fit for you.