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- Tasks: Apply advanced data science techniques to real estate modelling and analysis.
- Company: Join Knight Frank Group, a leading name in the real estate industry.
- Benefits: Enjoy a competitive salary and the chance to work in a vibrant London office.
- Other info: Collaborate with stakeholders on exciting analytical projects.
- Why this job: Make an impact in real estate while honing your data science skills.
- Qualifications: Strong Python skills and advanced modelling experience required.
The predicted salary is between 50000 - 65000 £ per year.
Knight Frank Group is seeking an Econometrician / Data Scientist for a 6 month fixed-term contract at their Baker Street office in London. The role focuses on applying advanced econometric and data science techniques to real estate modelling and analysis.
Candidates should have a strong background in Python, along with advanced modelling experience. The role involves collaboration with stakeholders to develop analytical projects and deliver high-quality outputs. A competitive salary is offered.
Real Estate Data Scientist & Econometrician - London employer: Knight Frank Group
Contact Detail:
Knight Frank Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Real Estate Data Scientist & Econometrician - London
✨Tip Number 1
Network like a pro! Reach out to professionals in the real estate and data science fields on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects and any econometric models you've developed. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to data science and real estate, and don’t forget to highlight your collaborative spirit!
✨Tip Number 4
Apply through our website! We make it easy for you to find and apply for roles like the Econometrician/Data Scientist position at Knight Frank. Don’t miss out on the chance to land that dream job!
We think you need these skills to ace Real Estate Data Scientist & Econometrician - London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python expertise and any advanced modelling experience you have. We want to see how your skills can contribute to our real estate projects!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific requirements of the Econometrician/Data Scientist role. We love seeing candidates who take the time to connect their experience with what we’re looking for.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and get straight to the point about your achievements and experiences.
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 from us!
How to prepare for a job interview at Knight Frank Group
✨Know Your Data Science Stuff
Make sure you brush up on your Python skills and econometric techniques before the interview. Be ready to discuss specific projects where you've applied these skills, as they’ll want to see how you can contribute to their real estate modelling.
✨Show Off Your Collaboration Skills
Since the role involves working with stakeholders, think of examples where you've successfully collaborated on analytical projects. Highlight how you communicated complex data insights to non-technical team members, as this will demonstrate your ability to deliver high-quality outputs.
✨Prepare for Technical Questions
Expect some technical questions related to data analysis and econometrics. Practise explaining your thought process when tackling a problem, as they might ask you to walk through a modelling scenario or a past project.
✨Research Knight Frank Group
Familiarise yourself with Knight Frank's work in the real estate sector. Understanding their recent projects and challenges will help you tailor your answers and show that you're genuinely interested in the role and the company.