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- Tasks: Join our team to analyse real estate data and develop innovative models.
- Company: Knight Frank, a leading global real estate consultancy with a collaborative culture.
- Benefits: Competitive salary, professional development, and a dynamic work environment.
- Other info: Exciting opportunity for career growth in a supportive team.
- Why this job: Make a real impact in the world of real estate through data science.
- Qualifications: Strong Python skills and experience in econometric modelling required.
The predicted salary is between 50000 - 60000 £ per year.
Founded in 1896, Knight Frank is one of the world's leading independent real estate consultancies. We work responsibly in partnership to enhance people's lives and environments in over 50 markets, 600+ offices, and 20,000+ people. At the heart of all we do are our clients. A relationship built on trust is vital. As trusted partners in property, we act with integrity and care, understanding our clients’ unique needs and consistently thinking about the bigger picture to provide personalised, clear and considered advice across all areas of property.
A true partnership is a balanced one, and our people are passionate about, and committed to, making our business inclusive and diverse. We empower everyone to have autonomy in their role and encourage them to use their voice in how we can make a positive impact as a firm and shape the future of real estate.
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.
The Role
- Work 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.
- Design, build and refine inferential and statistical models.
- Manipulate, cleanse and analyse complex datasets, including proprietary and external data sources.
- Prepare clear, high‐quality outputs for internal stakeholders, including data books, dashboards and research outputs.
- Collaborate 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’ 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.
Competitive salary. Please note: this is a Direct Search led by Knight Frank. Applications from recruitment agencies will not be accepted nor will fees be paid for unsolicited CVs, even if provided by PSL agencies.
Economist/Data Scientist - FTC employer: Knight Frank Group
Contact Detail:
Knight Frank Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Economist/Data Scientist - FTC
✨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 that a CV just can't.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your econometric skills. We want to see how you think and solve problems, so be ready to share your thought process!
✨Tip Number 3
Show off your projects! If you've worked on any relevant data science or econometric projects, bring them up during conversations. It’s a great way to demonstrate your expertise and passion.
✨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 our team at Knight Frank.
We think you need these skills to ace Economist/Data Scientist - FTC
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Economist/Data Scientist role. Highlight relevant experience and skills, especially in Python and econometric modelling. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and real estate. Share specific examples of your work that demonstrate your analytical skills and problem-solving abilities.
Showcase Your Projects: If you've worked on any interesting projects, especially those involving data analysis or econometrics, make sure to mention them. We love seeing practical applications of your skills, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team at Knight Frank!
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 modelling techniques. Be ready to discuss specific projects where you've applied these skills, as the interviewers will want to see how you can contribute to their data-driven approach.
✨Understand the Real Estate Sector
Even if you don't have direct experience in real estate, do some research on current trends and challenges in the industry. This will show your enthusiasm for the role and help you connect your analytical skills to real-world applications.
✨Prepare for Collaboration Questions
Since this role involves working with both technical and non-technical stakeholders, think of examples that demonstrate your ability to communicate complex ideas clearly. Prepare to discuss how you've successfully collaborated in past projects.
✨Show Your Problem-Solving Skills
Be ready to tackle hypothetical scenarios or case studies during the interview. Think about how you would approach a data analysis problem from start to finish, showcasing your analytical judgement and attention to detail.