Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

London Research (Real Estate), Associate

Knight Frank
London
1 year ago
Applications closed

Related Jobs

View all jobs

Research Scientist -Machine Learning

Quantitative Researcher (Machine Learning) - eFinancialCareers

Heilbronn Research Fellowships in Pure Mathematics, Data Science, and Quantum Computing

MRC Postdoctoral Research Scientist in Machine Learning LMS - 2722

Postdoctoral Research Associate in Transdiagnostic Artificial Intelligence

Quantitative Researcher – Machine Learning-Driven Systematic Trading Firm (London)

Contract Type Permanent Employment Type Full-Time Working Requirements Dynamic Working Hours 9:00am to 5:30pm Salary Competitive Division Commercial Location 55 Baker Street

Knight Frank is looking to hire a London Research, Associate to work within the 28 strong Commercial Research function.

Scope

We are the world’s leading independent international property consultancy, headquartered in the UK, offering agency and professional advice across Commercial, Residential and Rural sectors. Established in 1896, Knight Frank now comprises a global network of over 20,000 people in over 600 Offices across 53 Territories. 

Responsibilities

Working within the 28 strong Commercial Research function, you will be responsible for delivering a broad range of market research and thought leadership covering the London office market from both an investment and occupational perspective. You will be responsible for delivering high-quality and insightful market research outputs to a set production timetable, while also ensuring that our clients and prospective clients are directly exposed to our market knowledge. You will be skilled at sourcing, managing and interpreting data, as well as creating narratives that go beyond the data to highlight implications for office market participants. You will be a core contributor to The London Series – Knight Frank’s annual insight series on the London market and the associated London Breakfast. Key responsibilities for the role include:

Delivery of the core, quarterly London research outputs to required timescales and quality. Co-ordination and upwards/downwards management of colleagues and stakeholders to ensure the above. Generation of regular insights about the London market for articles, outputs, client engagement and greater social media (LinkedIn) presence. Active contribution to The London Series. Direct client engagement via market presentations (alongside or instead of the Head of London Research). Delivery of time-sensitive ad-hoc requests from clients, internal stakeholders and press. Delivery of internal market-briefings ahead of core London outputs going public. Management of content flow for the Knight Frank Intelligence Lab and relevant Sharepoint sites. Drawing on our data infrastructure, the wider research team and the London offices business to generate new insights and metrics to advance and evolve our London market reporting. Leveraging/repurposing/applying research outputs from across the Commercial Research team and developing a London perspective.

Professional experience and personal skills profile

Qualifications/Education Required

Ideally 3-5 years’ experience in an analytical or market-research focused role Degree qualified, with an analytical approach to completing assignments and strong attention to detail. An interest in drawing conclusions from the analysis of data and an ability to articulate these in an accessible way. An interest in working closely with the London offices team. An interest in news, current affairs and how this links back to the London real estate market.

Particular Aptitudes/Skills Required

A team player who is approachable, enthusiastic, innovative and self-motivated, with a passion for excellence and strong commerciality. A networker able to build rapport, develop relationships and gain trust with internal and external clients with both traditional and new ways of considering commercial real estate. Creating compelling narratives through, verbal, visual, written and data means to communicate messages appropriately to different audiences. Project management skills. Curious, innovative and adaptable, with a passion for life- long learning and an ability to work with both traditional and ‘new’ style individuals and firms. Innovative, with an ability to challenge the status quo and drive efficiency Skilled at drawing key themes from data to construct an argument in a clear and logical way, including considering the UK and London in a global context Able to present and otherwise communicate information in an engaging manner to audiences ranging from individuals in the London offices business, to small client groups and larger gatherings. Ability to synthesize data and themes into succinct and relevant messages. Excellent time management and the ability to prioritise tasks and work to tight deadlines. Able to adapt to changing priorities as needed and concurrently manage a diverse range of projects. Excellent English language oral and written skills. Can communicate clearly and listen effectively. Strong attention to detail. Ability to manage upwards and downwards to meet timescales and expectations. Proficient in Excel, PowerPoint and Word. Familiarity with packages such as Macrobond, RCA, MSCI, Power BI, Alteryx, Data Science or languages such as Python useful, but not essential. Experience of data visualisation useful, but not essential.

#LI-ET1#LI-Hybrid

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.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.