At a Glance
- Tasks: Develop models and analyse data to enhance customer messaging.
- Company: Join a leading nationwide organisation with a focus on innovation.
- Benefits: Flexible hybrid work, competitive pay, and valuable experience.
- Other info: Collaborate with experienced professionals in a supportive team.
- Why this job: Make a real impact by solving challenges in a dynamic environment.
- Qualifications: Data analysis skills and a passion for problem-solving.
The predicted salary is between 30000 - 40000 £ per year.
Nationwide is seeking a Data Scientist for a 9-month fixed-term contract.
The role sits within the Group Customer & Communications function and involves developing models, analyzing data, and deploying insights to improve customer messaging.
You will work with experienced team members in a hybrid setup across the UK, with a 28–35 hour weekly schedule.
Reporting to a Data Science Manager, you will support end-to-end model lifecycle and contribute to real-world challenges in a fast-paced
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Junior Data Scientist – Hybrid (9‑Month FTC) employer: Description This
As a Customer Banking Advisor at our Cleckheaton branch, you will be part of a dynamic team that prioritises exceptional customer service and innovative banking solutions. We offer competitive benefits, including annual bonuses and comprehensive training programmes, fostering an environment where employees can thrive and grow in their careers. Join us to experience a supportive work culture that values adaptability and personal development.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Scientist – Hybrid (9‑Month FTC)
✨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 Description This 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
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Description This.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Description This.
We think you need these skills to ace Junior Data Scientist – Hybrid (9‑Month FTC)
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Description This, 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 Description This, 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 Description This’s attention and show the tangible impact of your work.
How to prepare for a job interview at Description This
✨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 Description This.
✨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 Description This.
✨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 Description This.
