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

Apply Now

Statistician /Senior ESG Analyst

Datatech
London
9 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist – Project and Capability

Lead Data Scientist – Project and Capability

Lead Data Scientist – Projects and Capability

Data Scientist

Data Scientist | The Christie NHS Foundation Trust

Senior Data Scientist

Statistician/ Senior ESG Analyst- 12 month FTC
Hybrid working - 3 days in London office & 2 days remote
Negotiable salary DOE £40-50,000
Job Reference J12912

Our client is looking for an enthusiastic and innovative Statistician/ Senior Analyst with data skills who is passionate about ESG to join its market-leading Global Research team at a crucial moment for their business. This role is a 12-month Fixed Term Contract (FTC) position.

They are a world leading independent property consultancy within the professional property sector. The increasing focus of policy makers, regulators, markets and investors on ESG, combined with a greater understanding of the role it plays in delivering better outcomes for society and the environment, is reshaping the world of property. Based in their London offices, you will play a key role helping to respond to the rapidly developing needs of their clients at this exciting point in time and help drive forward their ambitious ESG agenda across global markets.

The role - technical specifications

  1. Working with technical colleagues in the wider Research team, specifically those in Analytics (Data Science, Data Engineering, Geospatial and Innovation) to perform econometric analysis to discover the impact of ESG on property market dynamics
  2. Ability to manipulate, cleanse and analyse complex data, including of key external and proprietary databases
  3. Ability to use spatial/GIS analysis to find locational insights
  4. Ability to see the bigger picture through the interrogation of relevant data to unearth trends
  5. Preparation of regular outputs for internal stakeholders, including data books and dashboards, to communicate key findings clearly

Experience

  1. Relevant university degree with strong statistical elements (MSc and PhD levels welcomed)
  2. 1-2 years of relevant experience
  3. Problem-solving skills
  4. Demonstrable capability to ensure accuracy in manipulating, analysing, and presenting data, with excellent attention to detail
  5. Strong background in statistics or econometrics
  6. Spatial data statistics (e.g. Geopandas/ Open Street Map)
  7. Knowledge of python or R desirable
  8. Personal skills suited to working within a professional yet friendly and dynamic team environment
  9. Self-motivated with the ability to work independently on projects
  10. An interest in real estate and/or ESG is an advantage

If this sounds like you then please apply!

#J-18808-Ljbffr

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.

Jobs

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.

Jobs

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.

Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.