At a Glance
- Tasks: Design statistical models and analyse datasets to solve real estate challenges.
- Company: Join Knight Frank, a leading name in real estate analytics.
- Benefits: Gain valuable experience in a dynamic environment with potential for growth.
- Other info: Work in a vibrant London office with a collaborative team.
- Why this job: Make an impact in the real estate sector using your data science skills.
- Qualifications: Strong Python skills and 4+ years of relevant experience required.
The predicted salary is between 50000 - 60000 £ per year.
Knight Frank Services Company Limited is seeking an enthusiastic Econometrician/Data Scientist to join its Modelling and Intelligence team on a 6-month Fixed Term Contract. This research-focused position involves applying econometric techniques to real-world business problems, mainly in real estate.
Responsibilities include:
- Designing statistical models
- Analysing datasets
- Preparing outputs for stakeholders
A strong background in Python and at least 4 years of relevant experience is essential. The role is based at our Baker Street office in London.
Econometrician & Data Scientist, Real Estate Analytics (FTC) employer: Knight Frank Services Company Limited
At Knight Frank, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. As an Econometrician/Data Scientist in our Modelling and Intelligence team, you will benefit from a dynamic environment in our central London Baker Street office, with opportunities for professional growth and development in the exciting field of real estate analytics. Join us to make a meaningful impact while enjoying a supportive atmosphere that values your contributions.
Contact Details:
Knight Frank Services Company Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Econometrician & Data Scientist, Real Estate Analytics (FTC)
✨Tip Number 1
Network like a pro! Reach out to people in the real estate analytics field on LinkedIn or at industry events. We can’t stress enough how personal connections can open doors for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your econometric models and data analyses. We all love a good visual, so make sure it’s easy to digest and highlights your best work.
✨Tip Number 3
Prepare for interviews by brushing up on your Python skills and understanding the latest trends in real estate analytics. We want you to feel confident and ready to tackle any technical questions that come your way.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Econometrician & Data Scientist, Real Estate Analytics (FTC)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with econometric techniques and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the position and how your background makes you a perfect fit for our Modelling and Intelligence team. Keep it engaging and personal!
Showcase Your Analytical Skills:In your application, give examples of how you've applied statistical models to solve real-world problems. We love seeing practical applications of your skills, especially in the context of real estate analytics!
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’s super easy!
How to prepare for a job interview at Knight Frank Services Company Limited
✨Know Your Econometrics
Brush up on your econometric techniques and be ready to discuss how you've applied them in real-world scenarios. Prepare examples that showcase your problem-solving skills, especially in the context of real estate analytics.
✨Showcase Your Python Skills
Since a strong background in Python is essential, be prepared to talk about specific projects where you've used Python for data analysis. If possible, bring along a portfolio or code snippets that demonstrate your proficiency.
✨Understand the Business Context
Research Knight Frank and their approach to real estate analytics. Understanding their business model and how econometrics fits into their strategy will help you tailor your answers and show genuine interest in the role.
✨Prepare for Stakeholder Communication
As you'll be preparing outputs for stakeholders, think about how you can communicate complex data insights clearly. Practice explaining your past work in a way that non-technical stakeholders can understand, highlighting the impact of your findings.
