At a Glance
- Tasks: Join a dynamic team to analyse real estate data and develop innovative models.
- Company: Knight Frank, a leading global real estate consultancy.
- Benefits: Gain valuable experience in a collaborative environment with a focus on professional growth.
- Other info: Opportunity for career advancement in a supportive and innovative workplace.
- Why this job: Make a real impact by applying your skills to solve complex business problems.
- Qualifications: Strong Python skills and experience in econometrics or data science required.
The predicted salary is between 50000 - 60000 £ per year.
Be part of something that is changing the world. Knight Frank is hiring an enthusiastic and innovative Econometrician / Data Scientist to join its market‑leading Modelling and Intelligence team on a 6 month Fixed Term Contract (FTC). This is a research‑focused role, ideal for someone who enjoys applying advanced econometric and data science techniques to real‑world business problems, with a particular emphasis on real estate modelling and analysis. Based in our Baker Street office, you will play a key role in helping Knight Frank maintain its reputation for high‑quality analysis and insights delivered to clients and partners across our global network. This role is offered on a fixed‑term contract and reports directly to the Head of Data Science.
Key Responsibilities
- Working closely with colleagues across Global Research, particularly Analytics (Data Science, Data Engineering, Geospatial and Innovation), to deliver econometric and data science analysis of real estate phenomena.
- Designing, building and refining inferential and statistical models.
- Manipulating, cleansing and analysing complex datasets, including proprietary and external data sources.
- Preparing clear, high‑quality outputs for internal stakeholders, including data books, dashboards and research outputs.
- Collaborating with technical and non‑technical stakeholders while also owning projects independently.
Technical Requirements
- Strong background in Python (essential).
- Advanced econometric and statistical modelling experience.
- Experience with Databricks and Azure DevOps (highly desirable, but not essential).
- Proven ability to ensure accuracy and rigour in data manipulation, analysis and presentation.
- Comfortable working across the full analytical lifecycle, from data preparation through to communication of insights.
Experience & Background
- Relevant university degree.
- At least 4 years of relevant professional experience.
- Demonstrated problem‑solving capability and strong analytical judgement.
- Experience of the real estate sector is desirable but not essential.
- Self‑motivated, able to work independently, and well suited to a professional, collaborative team environment.
Operating Environment
Role sits within the Modelling and Intelligence Department, part of the wider Global Research division. Based at Knight Frank’s 55 Baker Street office. Day‑to‑day management provided by the Head of Data Science.
Economist/Data Scientist - FTC in London employer: Knight Frank Services Company Limited
At Knight Frank, we pride ourselves on fostering a dynamic and collaborative work culture that empowers our employees to innovate and excel. As part of our Modelling and Intelligence team, you will have the opportunity to engage in meaningful projects that directly impact the real estate sector while benefiting from professional development opportunities and a supportive environment at our iconic Baker Street office.
Contact Details:
Knight Frank Services Company Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Economist/Data Scientist - FTC in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Knight Frank. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your econometric and data science expertise. This is your chance to demonstrate how you can tackle real-world problems, especially in real estate.
✨Tip Number 3
Ace the interview! Research common questions for data scientists and economists, and practice your answers. Be ready to discuss your experience with Python and any relevant projects you've worked on.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of the Knight Frank team.
We think you need these skills to ace Economist/Data Scientist - FTC in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your econometric and data science expertise, especially in Python, to show us you're the right fit for the role.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background aligns with our needs at Knight Frank. Be enthusiastic and let your personality come through!
Showcase Relevant Projects:If you've worked on projects related to real estate modelling or data analysis, make sure to mention them. We love seeing practical examples of your work that demonstrate your problem-solving skills and analytical judgement.
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 this exciting opportunity with Knight Frank!
How to prepare for a job interview at Knight Frank Services Company Limited
✨Know Your Data Science Stuff
Make sure you brush up on your econometric and data science techniques before the interview. Be ready to discuss how you've applied these skills in real-world scenarios, especially in relation to real estate modelling. This will show that you're not just a theory person but someone who can tackle practical problems.
✨Showcase Your Python Skills
Since a strong background in Python is essential for this role, be prepared to talk about specific projects where you've used Python. If possible, bring examples of code or projects you've worked on. This will demonstrate your technical prowess and give the interviewers confidence in your abilities.
✨Prepare for Collaboration Questions
This role involves working closely with both technical and non-technical stakeholders. Think of examples from your past experiences where you've successfully collaborated with others. Highlight your communication skills and how you adapt your approach depending on your audience.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the types of projects you'll be working on, or how success is measured in the role. This shows your genuine interest in the position and helps you gauge if it's the right fit for you.
