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- Tasks: Enhance user experiences through analytical projects and machine learning model development.
- Company: Leading fintech company in the UK with a focus on innovation.
- Benefits: Generous benefits, hybrid work environment, and a culture of inclusivity.
- Why this job: Join a dynamic team and make a real impact in the fintech space.
- Qualifications: Strong SQL and Excel skills, data modeling experience, and collaboration abilities.
- Other info: Exciting opportunities for growth in a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading fintech company in the UK is seeking a high-performing Data Scientist to join a new squad focused on enhancing user experiences. The role involves conducting analytical projects, proposing Signal improvements, and developing machine learning models to maximize data value.
Successful candidates will possess:
- Excellent SQL and Excel skills
- Experience with data modeling
- Strong collaboration abilities
The company offers a hybrid work environment, generous benefits, and a culture of inclusivity.
Data Scientist, Signals & ML Ranking in London employer: ClearScore
Contact Detail:
ClearScore Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, Signals & ML Ranking in London
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. It’s all about making connections that can help us get our foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data projects, especially those involving SQL and machine learning. This will give us a chance to demonstrate our expertise beyond just a CV.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by brushing up on common data science questions and case studies. We want to be able to discuss our thought process clearly and confidently.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets seen by the right people. Plus, we can tailor our application to highlight how we fit into the company culture.
We think you need these skills to ace Data Scientist, Signals & ML Ranking in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your SQL and Excel skills in your application. We want to see how you can use these tools to tackle data challenges and enhance user experiences.
Be Specific About Your Experience: When discussing your past projects, be specific about your role and the impact of your work. We love seeing how you've contributed to data modelling and machine learning projects in the past.
Collaboration is Key: Since this role involves working closely with a squad, mention any collaborative projects you've been part of. We value strong teamwork and want to know how you’ve worked with others to achieve goals.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and get you into our hiring process smoothly. We can’t wait to hear from you!
How to prepare for a job interview at ClearScore
✨Know Your Data Inside Out
Make sure you brush up on your SQL and Excel skills before the interview. Be prepared to discuss specific projects where you've used these tools to analyse data or improve processes. This will show that you can hit the ground running in enhancing user experiences.
✨Showcase Your Analytical Projects
Come ready to talk about your previous analytical projects, especially those involving machine learning models. Highlight how you proposed signal improvements and the impact they had. This demonstrates your ability to maximise data value, which is key for the role.
✨Collaboration is Key
Since the role involves working in a squad, be prepared to discuss your collaboration experiences. Share examples of how you've worked with cross-functional teams to achieve common goals. This will illustrate your strong collaboration abilities and fit within their inclusive culture.
✨Understand the Company Culture
Research the company's values and culture, especially their focus on inclusivity. During the interview, express how your personal values align with theirs. This shows that you're not just a great candidate technically, but also a good cultural fit for their hybrid work environment.
