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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, 25 days holiday, and Bupa healthcare.
- Other info: Enjoy a vibrant office atmosphere with social events and flexible working hours.
- 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 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 North East 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 North East
✨Tip Number 1
Network like a pro! Reach out to people in the FinTech space, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and SQL projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format and types of questions you'll face.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Scientist Python SQL - FinTech in North East
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python and SQL skills in your application. We want to see how you've used these tools in real-world scenarios, so don’t hold back on sharing specific projects or experiences that showcase your expertise.
Tailor Your CV: Customise your CV to match the job description. Use keywords from the listing, especially around data analysis and problem-solving. This helps us see that you’re a perfect fit for the Data Scientist role we’re offering.
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, what excites you about FinTech, and how you can contribute to our team. Keep it engaging and personal!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy and straightforward!
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 prepared 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 to ask at the end of your interview. This could be about the company culture, the team dynamics, or specific projects you might work on. It shows your genuine interest in the role and helps you assess if it’s the right fit for you.