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For Companies At a Glance
- 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 ÂŁ per year.
Who are we
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 clientsâ unique needs and consistently thinking about the bigger picture to provide personalised, clear and considered advice across all areas of property.
Our people are passionate about 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.
About The Role
Knight Frank is hiring an enthusiastic and innovative Econometrician / Data Scientist to join its marketâleading Modelling and Intelligence team on a 6 month Fixed Term Contract (FTC). This is a researchâfocused role, ideal for someone who enjoys applying advanced econometric and data science techniques to realâworld business problems, with a particular emphasis on real estate modelling and analysis.
This role is offered on a fixedâterm contract and reports directly to the Head of Data Science.
The Role
You will work on advancing existing real estate models and developing new analytical projects in collaboration with stakeholders across multiple real estate sectors.
- 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, highâquality outputs for internal stakeholders, including data books, dashboards and research outputs
- Collaborating with technical and nonâtechnical 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 yearsâ relevant professional experience
- Demonstrated problemâsolving capability and strong analytical judgement
- Experience of the real estate sector is desirable but not essential
- Selfâmotivated, 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 Frankâs 55 Baker Street office
- Dayâtoâday management provided by the Head of Data Science
Competitive salary.
Economist/Data Scientist - FTC in London employer: Knight Frank Group
Contact Detail:
Knight Frank Group Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Economist/Data Scientist - FTC in London
â¨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
â¨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their values and how they align with your own. This will help you tailor your responses and show that you're genuinely interested in being part of their team.
â¨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms. This will help you get comfortable with common questions and refine your answers, making you more confident when it counts.
â¨Tip Number 4
Donât forget to follow up after interviews! A simple thank-you email can leave a lasting impression and keep you top of mind. Plus, it shows your enthusiasm for the role and the company.
We think you need these skills to ace Economist/Data Scientist - FTC in London
Some tips for your application đŤĄ
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 this role and how you can contribute to our Modelling and Intelligence team. Keep it concise but impactful â we love a good story!
Showcase Your Analytical Skills: In your application, donât forget to showcase your analytical skills and problem-solving capabilities. Share specific examples of projects where you've used data science techniques to tackle real-world problems. Weâre all about those insights!
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way to ensure your application gets into the right hands. Plus, it shows us youâre serious about joining our team at Knight Frank!
How to prepare for a job interview at Knight Frank Group
â¨Know Your Data Science Stuff
Make sure you brush up on your econometric and statistical modelling skills. Be ready to discuss specific projects where you've applied Python and data analysis techniques, as this role heavily relies on those skills.
â¨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 help you connect your analytical skills to real-world applications during the interview.
â¨Prepare for Collaboration Questions
Since the role involves working with both technical and non-technical stakeholders, think of examples that showcase your ability to communicate complex ideas clearly. Be ready to explain how youâve successfully collaborated in past projects.
â¨Show Your Problem-Solving Skills
Be prepared to discuss specific challenges you've faced in your previous roles and how you approached solving them. Highlight your analytical judgement and how it led to successful outcomes, as this is key for the position.