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- Tasks: Transform complex financial data into actionable insights using Python and SQL.
- Company: Leading FinTech company in the UK with a focus on innovation.
- Benefits: Hybrid working options, generous holiday, and a supportive work environment.
- Why this job: Join a dynamic team and collaborate on innovative projects while gaining mentorship.
- Qualifications: Expertise in Python, SQL, and hands-on experience in machine learning.
- Other info: Focus on growth and wellbeing in a vibrant workplace.
The predicted salary is between 30000 - 48000 £ per year.
A leading FinTech company in the UK is seeking a Data Scientist to transform complex financial data into actionable insights. This role requires expertise in Python and SQL, with hands-on experience in machine learning and data analysis. You will join a dynamic team, gaining structured mentorship and the chance to collaborate on innovative projects. Benefits include hybrid working options, generous holiday, and a supportive work environment focused on growth and wellbeing.
Data Scientist – Foundation (Hybrid, Early‑Career) in Manchester employer: thinkmoney
Contact Detail:
thinkmoney Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist – Foundation (Hybrid, Early‑Career) in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insights into the company culture and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data analysis projects, especially those using Python and SQL. This will help us stand out during interviews and demonstrate our hands-on experience.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on machine learning concepts and coding challenges. We can find plenty of resources online to help us ace those tricky questions.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Data Scientist – Foundation (Hybrid, Early‑Career) in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and any machine learning projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant 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. We love seeing enthusiasm and a clear understanding of the FinTech landscape.
Showcase Your Projects: If you've got any personal or academic projects that demonstrate your data analysis skills, include them! We’re keen to see how you’ve applied your knowledge in real-world scenarios, so don’t hold back on sharing your work.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to join our dynamic team at StudySmarter!
How to prepare for a job interview at thinkmoney
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these languages, and think about how you can explain complex data concepts in simple terms.
✨Showcase Your Machine Learning Experience
Prepare to talk about any hands-on experience you have with machine learning. Bring examples of algorithms you've implemented or projects where you've derived insights from data. This will demonstrate your practical knowledge and problem-solving skills.
✨Understand the FinTech Landscape
Familiarise yourself with current trends in the FinTech industry. Being able to discuss how data science can impact financial services will show your enthusiasm for the role and your understanding of the company's mission.
✨Ask Insightful Questions
Prepare thoughtful questions to ask your interviewers. Inquire about the team dynamics, mentorship opportunities, and the types of projects you'll be working on. This not only shows your interest but also helps you gauge if the company is the right fit for you.
