Design Technology Data Scientist (London)
Design Technology Data Scientist (London)

Design Technology Data Scientist (London)

London Full-Time 43200 - 72000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Join our team to analyse data and develop innovative solutions for design technology.
  • Company: Gensler is a global leader in design, committed to digital transformation and creativity.
  • Benefits: Enjoy comprehensive benefits, profit sharing, and opportunities for professional development.
  • Why this job: Be part of a creative culture that drives impactful design and embraces diversity.
  • Qualifications: Bachelor's or Master's in Data Science with 10+ years of experience in machine learning.
  • Other info: Work in a collaborative environment focused on innovation and continuous learning.

The predicted salary is between 43200 - 72000 ÂŁ per year.

Your Role

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 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.

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 is a plus.
  • Computer Vision experience is a plus.
  • Experience in REST API service development is a plus.
  • C# as well as event-driven architectures is a plus.
  • Azure (or other cloud provider) certifications is a plus.

Life at Gensler

Gensler is committed to Diversity, Equity and Inclusion through our Five Strategies. In partnership with our clients, we strive to create a just and equitable future for our communities and our colleagues. We celebrate our diversity and are focused on creating an inclusive workplace environment for all.

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.

Design Technology Data Scientist (London) employer: Gensler

Gensler is an exceptional employer that fosters a highly creative and collaborative culture, making it an ideal place for innovative minds to thrive. With a strong commitment to diversity, equity, and inclusion, Gensler offers comprehensive benefits, including wellness programs and professional development opportunities, ensuring employees can lead balanced lives while advancing their careers. Located in London, the Global Design Technology Studio provides a unique environment where disruptive technologists can contribute to impactful design solutions and be part of a fast-growing data-driven community.
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Contact Detail:

Gensler Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Design Technology Data Scientist (London)

✨Tip Number 1

Familiarise yourself with the latest trends in data science and machine learning, especially within the AEC industry. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.

✨Tip Number 2

Showcase your collaborative skills by discussing past projects where you worked closely with cross-functional teams. Gensler values a highly creative and collaborative culture, so demonstrating your ability to work well with others is key.

✨Tip Number 3

Prepare to discuss your experience with Azure services and data visualisation tools like PowerBI. Being able to articulate how you've used these technologies in previous roles will set you apart from other candidates.

✨Tip Number 4

Research Gensler's recent projects and initiatives related to design technology. Having specific examples of their work that resonate with you can demonstrate your genuine interest in the company and its mission.

We think you need these skills to ace Design Technology Data Scientist (London)

Statistical Analysis
Machine Learning
Predictive Modelling
Data Engineering
Data Manipulation
Data Visualisation
SQL
Python
R
Azure Machine Learning
Azure Databricks
Azure Data Factory
Data Governance
Data Privacy Regulations
Generative AI Technologies
Natural Language Processing (NLP)
PowerBI
DAX
Power Query
REST API Development
Computer Vision
Git
Event-Driven Architectures
Microsoft Fabric
Serverless Compute Services

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data science, machine learning, and any specific tools mentioned in the job description, such as Azure services and programming languages like Python and SQL.

Craft a Compelling Cover Letter: In your cover letter, express your passion for design technology and how your skills align with Gensler's mission. Mention specific projects or experiences that demonstrate your ability to drive innovation and collaboration.

Showcase Technical Skills: Clearly outline your technical skills related to data analysis, machine learning, and data visualization tools. Provide examples of how you've used these skills in previous roles to achieve impactful results.

Highlight Collaborative Experience: Since the role involves collaboration with various teams, emphasise your experience working in cross-functional teams. Share examples of how you’ve contributed to team success and driven insights in a creative environment.

How to prepare for a job interview at Gensler

✨Showcase Your Technical Skills

Be prepared to discuss your experience with Azure services, machine learning algorithms, and data manipulation using SQL, Python, or R. Bring examples of past projects where you successfully implemented these technologies.

✨Demonstrate Collaborative Spirit

Gensler values collaboration, so be ready to share experiences where you worked in a team to solve complex problems. Highlight how you contributed to the success of a project through teamwork and communication.

✨Research Gensler's Design Technology

Familiarise yourself with Gensler’s approach to design technology and their recent projects. This will help you align your answers with their goals and demonstrate your genuine interest in the company.

✨Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving abilities in real-world scenarios. Think about how you would leverage data insights to improve design processes and be ready to articulate your thought process clearly.

Design Technology Data Scientist (London)
Gensler
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  • Design Technology Data Scientist (London)

    London
    Full-Time
    43200 - 72000 ÂŁ / year (est.)

    Application deadline: 2027-06-26

  • G

    Gensler

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