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- Tasks: Join our team to drive innovative data solutions in design technology.
- Company: Gensler is a global leader in architecture and design, committed to digital transformation.
- Benefits: Enjoy comprehensive benefits, profit sharing, and professional development support.
- Why this job: Be part of a creative culture that values diversity and impactful design.
- Qualifications: Bachelor's or Master's in Data Science with 10+ years of relevant experience required.
- Other info: Experience with Azure and machine learning technologies is a plus.
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.
**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.
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Design Technology Data Scientist employer: Gensler
Contact Detail:
Gensler Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Design Technology Data Scientist
✨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 specific examples of how you've leveraged Azure services in your previous roles. Being able to articulate your experience with Azure Machine Learning, Databricks, and Data Factory will set you apart from other candidates.
✨Tip Number 4
Stay updated on emerging technologies in the AEC space and be ready to share your insights on build vs. buy strategies. This shows your proactive approach and commitment to driving innovation within the design technology ecosystem.
We think you need these skills to ace Design Technology Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, machine learning, and any specific technologies mentioned in the job description. Use keywords from the job listing to ensure your application stands out.
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 proficiency in Azure services, SQL, Python, and any other relevant programming languages. Provide examples of how you've used these skills in past roles to solve complex problems or deliver impactful results.
Highlight Collaborative Experience: Since the role involves working closely with teams, emphasise your experience in collaborative environments. Share examples of successful teamwork, especially in creative or technical projects, to demonstrate your ability to contribute to Gensler's innovative culture.
How to prepare for a job interview at Gensler
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in SQL, Python, and R during the interview. Be prepared to discuss specific projects where you've applied machine learning techniques or data analysis, especially in the AEC industry.
✨Demonstrate Collaborative Spirit
Gensler values collaboration, so be ready to share examples of how you've worked with cross-functional teams. Discuss how you’ve contributed to innovative solutions and how you can bring that collaborative mindset to their Design Technology team.
✨Stay Current with Industry Trends
Research the latest trends in data science and design technology, particularly in the AEC space. Be prepared to discuss emerging technologies and how they could impact Gensler's work, showing that you're proactive about staying informed.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities. Think of complex challenges you've encountered in previous roles and how you approached them, particularly those involving data pipelines or machine learning models.
