At a Glance
- 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, and social team events.
- Other info: Flexible working hours, modern office with great views, and supportive team atmosphere.
- Why this job: Join a dynamic team and make an impact in the fast-paced world of finance.
- Qualifications: Strong Python and SQL skills, with a top-tier STEM education and commercial experience.
The predicted salary is between 65000 - 80000 £ per year.
Newcastle upon Tyne, Tyne and Wear | £65k - £80k 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
- 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 employer: Client Server Ltd.
Join a dynamic FinTech scale-up in the heart of Newcastle upon Tyne, where you'll thrive in a collaborative and innovative environment. With a strong focus on employee growth, you will have access to exciting career development opportunities while working with cutting-edge technology and data. Enjoy a competitive salary, generous holiday allowance, and a vibrant social atmosphere that fosters teamwork and creativity, all within modern offices offering stunning views of the city and countryside.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist Python SQL - FinTech
✨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 insider info that could help you stand out.
✨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 might face.
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities that match your skills, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Data Scientist Python SQL - FinTech
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your Python and SQL skills, as well as any relevant experience in data science. We want to see how your background aligns with the role, so don’t be shy about showcasing your 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 and how you can contribute to our team. Keep it concise but engaging – we love a good story!
Show Off Your Problem-Solving Skills:In your application, mention specific examples where you've tackled complex problems using data analysis. We’re looking for those entrepreneurial vibes, so let us know how you’ve made an impact in previous roles!
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 don’t miss out on any important updates. Plus, we love seeing applications come in through our own channels!
How to prepare for a job interview at Client Server Ltd.
✨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, team dynamics, or future projects. This not only shows your interest but also helps you assess if the company aligns with your career goals.
