National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Statistician /Senior ESG Analyst

Datatech Analytics
London
5 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Junior/Mid/Senior Data Scientist - Hybrid, London

SENIOR RESEARCH ASSOCIATE (DATA SCIENCE) (LONDON)

Senior Data Scientist (Viator)...

Senior Data Scientist - Consumer Behaviour – exciting ‘scale up’ proposition

Pricing Manager (Data Scientist) - Remote

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.

Reporting in to the Head of Data Science, the role is focussed specifically on the delivery of research outputs for the wider Global ESG strategy which will cover service lines only outside the UK.

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

National AI Awards 2025

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 Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.