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

Apply Now

Project Management Coordinator

London
6 months ago
Applications closed

Related Jobs

View all jobs

Art Production Coordinator: Data Analytics

Art Production Coordinator: Data Analytics

Senior Data Management Professional - Data Engineering

Sr. Statistician

Data Engineer

Senior Data Management Professional - Data Quality Engineer - Alternative Investment Funds Lond[...]

CBRE Global Workplace Solutions is a leading global provider of integrated facilities and corporate real estate management. We are recruiting a Project Management Coordinator position to join our Team in London.

Responsibilities:

Review all project delivery programmes and ensure all milestones are managed

Review all Standard Operating Processes and other relevant documentation affecting SMW delivery and ensure compliance

Raise and manage all documentation required to enable project delivery and support progress through approval system

Review all relevant EHS legislation

Prepare reports from various process systems to support the business cycle of progress and financial reporting

Prepare presentations to explain initiatives to clients and other continuous improvements

Attend all formal meetings with PMs and Client to drive the process and business cycle reporting

Prepare and manage critical communications from SMW teams to clients and Engineering teams

Be the 'go to person' for all ad-hoc queries

Develop relationships with Finance team and understand the requirements for Debt and Purchase Order management

Provide a systemic approach to maintaining the compliance of the SMW teams, ensuring that a structured format for all aspects of the business cycle is set up and maintained

Education:

Degree standard education or equivalent

Skills:

Problem solving skills

Ability to prepare concise reports, prepare quality PowerPoint presentations and effectively lead discussions

Able to work with and manipulate spreadsheets / formulas

Analytical and quantitative skills

Customer Service skills

PC Literate - Microsoft Office Suite

Knowledge:

Understanding of operational impact related to actions/decisions

Experience:

Familiarity working in a fast-paced organisation

About CBRE Global Workplace Solutions:

As one of CBRE's core global businesses, Global Workplace Solutions (GWS) provides end-to-end services to occupier clients across the entire lifecycle of a building. Our teams help companies improve their operations and reduce costs, through expert facilities management, project management, real estate and energy and sustainability services. Our dedicated teams work across all industries, and support clients ranging from global Fortune 500 companies to single, iconic buildings.

CBRE Group, Inc. is the world's largest commercial real estate services and investment firm, with 2019 revenues of $23.9 billion and more than 100,000 employees (excluding affiliate offices). CBRE has been included on the Fortune 500 since 2008, ranking #128 in 2020. It also has been voted the industry's top brand by the Lipsey Company for 19 consecutive years, and has been named one of Fortune's "Most Admired Companies" for eight years in a row, including being ranked number one in the real estate sector in 2020, for the second consecutive year. Its shares trade on the New York Stock Exchange under the symbol "CBRE."

Application Process:

Your application will be reviewed by our Talent Resourcing Team and you will be contacted if you have been successful in being short listed for the role.

No agencies please.

Please note: the job title shown above may be different to local job titles used in our business and issued on any contract of employment.

#GWSEMEA

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.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.