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For Companies At a Glance
- Tasks: Design and implement advanced AI and machine learning models for real-world business challenges.
- Company: Dynamic fintech startup in London with a positive impact on SMEs.
- Benefits: Competitive compensation, unlimited holiday, and a vibrant work environment.
- Why this job: Join a forward-thinking team and make a difference in the fintech space.
- Qualifications: PhD and 5+ years of data science experience, proficient in Python and SQL.
- Other info: Exciting opportunity to thrive in a fast-paced, innovative setting.
The predicted salary is between 43200 - 72000 £ per year.
A fintech company in London is looking for a Data Scientist to design and implement advanced AI and machine learning models for business challenges. The role requires a PhD and over 5 years of data science experience, focusing on credit risk. Candidates should be proficient in Python, SQL, and familiar with machine learning frameworks.
The company offers competitive compensation, unlimited holiday, and a chance to work in a dynamic startup environment with a positive impact on SMEs.
Lead Data Scientist - ML & Risk, Hybrid London employer: Uncapped
Contact Detail:
Uncapped Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist - ML & Risk, Hybrid London
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those working with AI and machine learning. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects in Python and SQL. This is your chance to demonstrate how you’ve tackled real-world problems, especially in credit risk.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as communication is key in a dynamic startup environment.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who can make a positive impact. Plus, it’s the best way to ensure your application gets noticed.
We think you need these skills to ace Lead Data Scientist - ML & Risk, Hybrid London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python, SQL, and any machine learning frameworks you've worked with. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention your PhD and relevant experience in credit risk, as it’s key for us to see how you fit into our fintech world.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your achievements and what you can bring to the team.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Uncapped
✨Know Your Stuff
Make sure you brush up on your machine learning models and credit risk analysis. Be ready to discuss specific projects you've worked on, especially those involving Python and SQL. The more you can demonstrate your expertise, the better!
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical business challenges during the interview. Think about how you would approach designing AI models for real-world problems. This will show them that you can think critically and apply your knowledge effectively.
✨Familiarise Yourself with the Company
Do a bit of research on the fintech company and its impact on SMEs. Understanding their mission and values will help you tailor your answers and show that you're genuinely interested in contributing to their goals.
✨Ask Insightful Questions
Prepare some thoughtful questions about the role and the team dynamics. This not only shows your enthusiasm but also helps you gauge if the company culture aligns with your values. Plus, it’s a great way to engage with your interviewers!
