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

Apply Now

Design Technology Data Scientist - Senior

Gensler
London
1 month ago
Create job alert

Placed at the heart of Gensler’s People + Process + Technology the Global Design Technology Studio drives the firm’s digital transformation of our creative and project delivery practices throughout the globe. Our ultimate outcome is to co-create a design technology ecosystem that enables our practitioners to leverage the most advanced methodologies and technological solutions reaching a new level of creativity and delivering the most impactful designs to our clients. So, if you are a disruptive technologist that’s ready to change the world with big and impactful ideas, we want you to join our growing and innovative award-winning team!

The Global Design Technology Studio at Gensler is looking for a Senior Data Scientist to join our team. In this role you will bring crucial leadership and capability into our Design Technology team that is delivering innovative solutions connecting the data and outcomes from our designs to our practitioners, projects, and clients through a highly creative and collaborative culture. You will be required to demonstrate strong technical aptitude with traditional and cutting-edge methodologies for the collection, management, analysis, synthesis, and assessment of large datasets with an objective of identifying trends, insights, and opportunities for improvement.

**This position is based on our London office 5 days a week**

What You Will Do

Collaborate with the Data team to develop, train and deploy ML classification algorithms leveraging a continuous flow of data originating and extracted from data-rich design authoring tools Leverage the outcomes of trained data models to explore trends and define insights in alignment with business and client needs Define and develop data pipelines in MS Azure to deliver data and insights via Web APIs into data visualization platforms and other Gensler IP in partnership with Data Engineering colleagues Collaborate with studio colleagues on strategies & innovative solutions for driving insights back into early stages of the design process Research opportunities and implement the integration and correlation of additional datasets such as geospatial data, proprietary data, and operational data Research emerging technologies in the AEC space and make recommendations on build vs. buy strategies Support R&D of future Strategic Insights initiatives Support a fast-growing data-driven design community of practitioners in the firm Support and drive technical upskilling of project teams to implement sophisticated PowerBI solutions on projects Participate in the convergence of multiple aspects of our overall digital strategy with data and insights generation in alignment with business goals

Your Qualifications

Bachelor's or Master’s degree in Data Science, Statistics, Applied Math, or Computer Science, along with equivalent practical experience in Applied Data, Data Engineering, and or Data Science. 10+ years of strong practical experience in statistical analysis, machine learning, and / or predictive modeling (AEC Industry experience a plus) Ability to work in a highly creative environment and collaborate on solutions to complex problems Track record of staying current with best practices and new technology solutions Proficiency with Azure services such as Azure Machine Learning, Azure Databricks, and Azure Data Factory leveraging data sources from SQL and No SQL data sources such as graph, Cosmos DB, JSON in Blob Storage, and vector databases Proficiency in SQL, Python and R (or equivalent) programming languages for data manipulation, analysis, and model development Experience with various machine learning & generative ai technologies, performance evaluation and creating end-to-end ML pipelines in Azure Experience with generative AI models & development frameworks, specifically around LLMs and NLP Understanding of Data governance practices, data privacy regulations, and security best practices Proficiency with Data Visualization Tools like PowerBI (DAX, Power Query, etc.) as well as tools for visualizing ML and GenAI apps such as plotly, seaborn, d3 and / or streamlit. Experience with using Git + source control in a team environment Experience with Microsoft Fabric is a plus Experience with development of serverless compute services like Azure Functions a plus Computer Vision experience is a plus Experience in REST API service development a plus C# as well as event-driven architectures is a plus Azure (or other cloud provider) certifications a plus

Life at Gensler

As a people-first organization, we are as committed to enjoying life as we are to delivering best-in-class design. From internal design competitions to research grants to “Well-being Week,” our offices reflect our people’s diverse interests.

We encourage every person at Gensler to lead a healthy and balanced life. Our comprehensive benefits include medical, dental, vision, disability and wellness programs. We also offer profit sharing and twice annual bonus opportunities.

As part of the firm’s commitment to licensure and professional development, Gensler offers reimbursement for certain professional licenses and associated renewals and exam fees. In addition, we reimburse tuition for certain eligible programs or classes. We view our professional development programs as strategic investments in our future.

#LI-MR1

Related Jobs

View all jobs

Junior Data Scientist

Senior Data Scientist

Staff Data Scientist, Associate Director (Manchester)

Staff Data Scientist, Associate Director (Manchester)

Associate Director/ Senior Data Scientist

Staff Data Scientist, Associate Director

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.

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.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.