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- Tasks: Analyse data and develop models using Python and SQL to drive business decisions.
- Company: Exciting FinTech scale-up with strong backing and innovative projects.
- Benefits: Competitive salary, career progression, and a dynamic work environment.
- Other info: Onsite role in Newcastle with opportunities for professional growth.
- Why this job: Join a cutting-edge team and make an impact in the financial technology sector.
- Qualifications: Strong Python skills, SQL knowledge, and a passion for data science.
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 technologies.
Data Scientist Python SQL - FinTech in Newcastle upon Tyne employer: Employer near you
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Employer near you Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist Python SQL - FinTech in Newcastle upon Tyne
✨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 on job openings.
✨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 brushing up on your maths and data analysis skills. Be ready to tackle real-world problems and demonstrate how you can apply your knowledge to their specific challenges.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team!
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 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!
Tailor Your CV: Customise your CV to match the job description. We love seeing candidates who take the time to align their experience with what we're looking for, especially in areas like maths and data analysis.
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. We appreciate a personal touch that shows us who you are beyond your qualifications.
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 makes the process smoother for everyone involved!
How to prepare for a job interview at Employer near you
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be prepared to discuss your experience with libraries like Pandas and NumPy, and maybe even solve a coding challenge on the spot. Practising common algorithms and data structures can really help you shine.
✨SQL is Key
Since SQL is a big part of the role, ensure you’re comfortable writing complex queries. You might be asked to demonstrate your ability to manipulate and extract data from databases. Review your SQL syntax and think about how you can optimise queries for performance.
✨Showcase Your Maths Skills
As a Data Scientist, a strong foundation in maths is crucial. Be ready to discuss statistical concepts and how they apply to real-world problems. Prepare examples of how you've used statistical methods in past projects to derive insights or make decisions.
✨Understand the FinTech Landscape
Familiarise yourself with the FinTech industry and current trends. Being able to discuss how data science impacts financial services will show your enthusiasm for the sector. Think about how your skills can contribute to the company's goals and be ready to share your thoughts during the interview.