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- Tasks: Analyse and manipulate large data sets to uncover financial trends using Python and SQL.
- Company: Exciting FinTech scale-up with strong backing and a collaborative culture.
- Benefits: Competitive salary up to £80k, bonus, healthcare, and generous holiday.
- Other info: Enjoy a vibrant office atmosphere with social events and career growth opportunities.
- Why this job: Join a dynamic team and make an impact in the fast-paced world of finance.
- Qualifications: Top-tier STEM degree, strong Python and SQL skills, and a passion for problem-solving.
The predicted salary is between 80000 - 80000 £ per year.
Are you a Data Scientist, with a first class education and strong Python programming skills? You could be progressing your career, as a Data Scientist, working on complex and interesting systems at a FinTech scale-up, they have secure backing and an established Hedge Fund client as a partner.
As a Data Scientist you'll be mainly using backend Python and SQL to investigate data sets, analysing and manipulating large, novel data sets to understand financial trends and present these findings to the business. There's an Agile, collaborative team environment with plenty of problem solving, learning opportunities and career development as the company scales.
Location / WFH: You'll join colleagues in brand new Central Newcastle offices on a full-time basis (Monday to Friday), working hours 0900-1800 with some flexibility. The offices are well equipped and offer fantastic views across the City and the local countryside, many employees walk or cycle in (onsite showers available!), there's a diverse, social team atmosphere with many employees having recently relocated and lots of support available.
About you:
- You have an outstanding record of academic achievement in a STEM discipline from a top tier university (i.e. Russel Group or top 100 global university), backed by A grades at A-level.
- You have commercial experience as a Data Scientist.
- You have strong Python programming skills.
- You have a strong knowledge of SQL databases.
- You're entrepreneurial with good business acumen.
- You're collaborative, enjoy problem solving and sharing ideas.
What's in it for you:
- As a Data Scientist you will receive a competitive package:
- Salary (to £80k, negotiable).
- Bonus.
- 25 days holiday.
- Bupa healthcare.
- Generous pension contribution.
- Continuous career development opportunities.
- Social team atmosphere with a range of events and early finish for drinks on Fridays.
Apply now to find out more about this Data Scientist (Python SQL Maths) opportunity.
At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
Data Scientist Python SQL - FinTech in Newcastle upon Tyne employer: Client Server
Contact Detail:
Client Server Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist Python SQL - FinTech in Newcastle upon Tyne
✨Network Like a Pro
Get out there and connect with people in the FinTech space! Attend meetups, webinars, or even just grab a coffee with someone in the industry. You never know who might have a lead on that perfect Data Scientist role.
✨Show Off Your Skills
Create a portfolio showcasing your Python and SQL projects. Whether it's a GitHub repo or a personal website, let your work speak for itself. This is your chance to shine and show potential employers what you can do!
✨Ace the Interview
Prepare for technical interviews by brushing up on your data analysis skills and problem-solving techniques. Practice common interview questions and be ready to discuss your past projects in detail. Confidence is key!
✨Apply Through Us!
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Data Scientists like you. Plus, we’re here to support you every step of the way in landing that dream job.
We think you need these skills to ace Data Scientist Python SQL - FinTech in Newcastle upon Tyne
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your strong Python programming and SQL skills in your application. We want to see how you've used these skills in real-world scenarios, so don't hold back on the details!
Tailor Your CV: Customise your CV to reflect the job description. Use keywords from the listing, especially around data analysis and problem-solving, to show us you're a perfect fit for our Data Scientist role.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're passionate about this role. Share your journey in data science and how you can contribute to our team at StudySmarter. Make it personal and engaging!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Client Server
✨Know Your Python and SQL Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be prepared to discuss specific projects where you've used these languages, and think about how you can demonstrate your problem-solving abilities with real-world examples.
✨Understand Financial Trends
Since this role is in FinTech, it’s crucial to have a grasp of financial concepts and trends. Research recent developments in the industry and be ready to discuss how data science can impact financial decision-making. This shows your enthusiasm and understanding of the sector.
✨Showcase Your Collaborative Spirit
The company values teamwork, so be ready to share experiences where you’ve worked collaboratively. Think of examples that highlight your ability to solve problems as part of a team and how you’ve contributed to group success.
✨Ask Insightful Questions
Prepare thoughtful questions about the company culture, team dynamics, and the specific challenges they face. This not only shows your interest in the role but also helps you determine if the company is the right fit for you.