About the Role
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 research‑focused role is 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
You will work on advancing existing real estate models and developing new analytical projects in collaboration with stakeholders across multiple real estate sectors.
Key Responsibilities Include
- 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’ 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
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.
#J-18808-Ljbffr”, “datePosted”: “2026-05-20”, “hiringOrganization”: { “@type”: “Organization”, “name”: “Knight Frank”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__436845912__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=299” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “London” } } }About the Role
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 research‑focused role is 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
You will work on advancing existing real estate models and developing new analytical projects in collaboration with stakeholders across multiple real estate sectors.
Key Responsibilities Include
- 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’ 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
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.
#J-18808-Ljbffr…