Design Systems Analyst (Smart Places & Digital Twin Specialist)

Cremorne
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Lead Analyst - Data Science_ AI/ML & Gen AI

Freelance Spatial AI and Machine Learning Consultant

Freelance Spatial AI and Machine Learning Consulta - Remote

Data Scientist - Measurement Specialist

ML Engineer / Data Scientist

Data Scientist - GenAI - Consultant

Foster + Partners

Design Systems Analyst (Applied R+D Smart Places & Digital Twin Specialist)

London, Battersea

Permanent

On site

Foster + Partners is a global studio for architecture, engineering, urban and landscape design, rooted in sustainability.

The Applied Research and Development team at Foster + Partners is looking for a Design Systems Analyst (Applied R+D Smart Places & Digital Twin Specialist) to join their team in London.

This role will be responsible for:

  • Research and develop smart building, smart city and digital twin technologies. Engage with all stages of the innovation lifecycle, capturing requirements, identifying successful technologies and promoting these from prototype to production use

  • Liaise with designers and domain specialists internal and external to the company to ensure effective development, integration, and application of wider company design systems and processes

    Key skills:

  • Degree in Architecture, Engineering (including Building Services), or Computer Science or equivalent experience

  • Experience in one or more areas of collecting, managing and visualizing data related to the built environment, including: sensor technology, asset information management, cloud data management, data processing and visualisation

  • Experience in one or more of the following areas: architecture, information management, building services and smart buildings, smart cities, digital twins, ubiquitous computing (including the Internet of Things), data science, interactive application (including games engine) development, cloud computing

  • Familiarity with systems and processes for managing buildings, cities or other complex assets (BMS / AMS)

    In return we offer a competitive basic salary and generous benefits package which includes 25 days holiday (exc bank holidays), Pension, DIS and discretionary annual bonus

    If you would like to work for a company that can offer you a career then please apply by sending an up to date CV

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 Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.