Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Manage data projects and collaborate with clients in finance and banking.
- Company: Client Server, a supportive and diverse tech company in Newcastle.
- Benefits: Salary up to £100k, hybrid working model, and excellent training opportunities.
- Why this job: Join a dynamic team and make an impact in the finance sector.
- Qualifications: Strong skills in R, Python, SAS, SQL, and a relevant degree.
The predicted salary is between 90000 - 100000 £ per year.
Client Server is looking for a Senior Data Scientist in Newcastle, offering a salary up to £100k plus a hybrid working model. You will be responsible for managing data projects, liaising with clients mainly in finance and banking.
The ideal candidate has strong skills in R, Python, SAS, and SQL, and possesses a relevant degree. This position includes excellent training and career progression opportunities in a supportive and diverse environment.
Senior Finance Data Scientist – Hybrid (R/Python/SAS) employer: Client Server
Contact Detail:
Client Server Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Finance Data Scientist – Hybrid (R/Python/SAS)
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and data science fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in R, Python, and SAS. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practise explaining your thought process clearly, as communication is key in client-facing roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that Senior Finance Data Scientist role, plus it shows you’re serious about joining our team.
We think you need these skills to ace Senior Finance Data Scientist – Hybrid (R/Python/SAS)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with R, Python, SAS, and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science in finance and how you can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any interesting data projects, make sure to mention them in your application. We’re keen to see how you’ve tackled challenges and what tools you used, especially in a finance context.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Client Server
✨Know Your Tech Inside Out
Make sure you brush up on your R, Python, SAS, and SQL skills. Be prepared to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Understand the Finance Sector
Since you'll be liaising with clients in finance and banking, it’s crucial to have a solid understanding of the industry. Familiarise yourself with current trends and challenges in finance data science to show that you’re not just a tech whiz but also a valuable partner for their business.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems or case studies related to data projects. Practise articulating your thought process clearly, as this will demonstrate your analytical skills and ability to manage real-world data challenges.
✨Showcase Your Soft Skills
Technical skills are important, but don’t forget to highlight your communication and teamwork abilities. Be ready to share examples of how you've successfully collaborated with clients or team members, especially in a hybrid working environment.