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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, bonus, 25 days holiday, healthcare, and generous pension.
- 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: Strong academic background in STEM, Python programming skills, and SQL knowledge.
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.
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 Sunderland 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 Sunderland
✨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 Sunderland
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 Application: Take a moment to customise your CV and cover letter for this role. We love seeing candidates who understand our company and the FinTech space, so mention any relevant experience or knowledge that aligns with what we do at StudySmarter.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read, so avoid jargon and make sure your key achievements stand out!
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 shows us you’re keen to join 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 collaboration, so be ready to share experiences where you’ve worked in a team. Highlight how you contributed to problem-solving and idea-sharing, as well as any Agile methodologies you’ve used. This will demonstrate that you’re a good fit for their team environment.
✨Prepare Questions That Matter
At the end of the interview, you’ll likely be asked if you have any questions. Prepare thoughtful questions about the company culture, career development opportunities, or specific projects you might work on. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.