Consultant | AI & Data

Buro Happold Limited; New York (NY); Hybrid; USD 85,000 - 115,000; Full time

Benefits offered by this job

Salary range

Benefits package

Annual discretionary bonus

PTO and holidays

401k with company match

Hybrid working environment

Licenses reimbursements

Global networking

Employee resource groups

Job summary

Buro Happold Limited is seeking an experienced AI & Data Consultant to join our Digital Advisory Team in the United States. You will help clients unlock value from data using analytics, AI, ML, and modern data platforms to drive business and sustainability outcomes.

Responsibilities include building data pipelines, optimizing SQL, applying ML techniques, and developing AI capabilities. Strong collaboration with clients and vendors is essential to deliver measurable value.

Qualifications

• Degree in a quantitative, data-related, or built environment discipline.
• 2+ years with Snowflake and/or Databricks in a professional setting.
• 2+ years using SQL and Python for data analysis, transformation, automation, or engineering.
• Experience applying ML/AI techniques to real-world business or operational challenges.
• Familiarity with AI/ML tools such as scikit-learn, TensorFlow, PyTorch.
• Understanding of large language models (LLMs) and generative AI in analytics.
• Ability to design data pipelines and analytical products from complex datasets.
• Strong analytical and problem-solving capabilities with commercial awareness.
• Experience with AWS, Azure, or Google Cloud Platform.
• Proficient with Tableau, Power BI, or similar visualization tools.
• Strong communication to present findings to clients and stakeholders.
• Genuine interest in built environment and tech/data's role.

Responsibilities

• Build and maintain data pipelines and models in Snowflake and Databricks for client analytics.
• Develop and optimize SQL queries to transform data into clean datasets.
• Apply AI/ML techniques to generate predictive insights and automate analysis.
• Support AI capabilities including forecasting, anomaly detection, and NLP interfaces.
• Integrate data from multiple systems into unified datasets.
• Conduct data analysis to identify trends and opportunities for clients.
• Translate findings into clear recommendations with business value.
• Collaborate with clients, vendors, and teams to manage data across platforms.
• Perform exploratory analysis to uncover patterns in complex datasets.
• Ensure data quality, governance, and documentation across engagements.
• Create compelling visualizations and narratives for technical and non-technical stakeholders.

Skills

Analytical thinking

Communication

Interest in built environment

Education

Degree in quantitative/data-related discipline

Tools

Snowflake

Databricks

Tableau

Power BI

scikit-learn

TensorFlow

PyTorch

AWS

Azure

Google Cloud Platform

Job description

Help shape the future of AI, data, and the built environment! Buro Happold is currently seeking an experienced AI & Data Consultant to join our growing Digital Advisory Team in the United States. In this role, you will help clients unlock the value of their data through advanced analytics, artificial intelligence, machine learning, and modern data platforms to drive better business, operational, and sustainability outcomes.

We pride ourselves on our inclusive and diverse practice. Candidates who feel underrepresented are encouraged to apply.

Responsibilities

• Build and maintain data pipelines and models within Snowflake and Databricks environments to support client analytics and reporting initiatives.
• Develop and optimize SQL queries to transform raw data into clean, reliable, and analysis-ready datasets.
• Apply artificial intelligence and machine learning techniques to generate predictive insights, automate analysis, and uncover opportunities within client data.
• Support the development and integration of AI capabilities, including forecasting models, anomaly detection, and natural language interfaces.
• Identify and evaluate practical AI use cases, assessing feasibility based on data maturity, technical requirements, and business value.
• Integrate data from multiple disparate and often siloed systems into unified, trusted datasets.
• Conduct data analysis to identify trends, quantify opportunities, benchmark performance, and support decision-making.
• Translate analytical findings into clear recommendations that demonstrate commercial and operational value.
• Collaborate with clients, technology vendors, and project teams to source, validate, and manage data across multiple platforms.
• Perform exploratory analysis to uncover patterns and improvement opportunities within complex datasets.
• Ensure data quality, governance, documentation, and best practices are consistently applied across engagements.
• Develop compelling visualizations and narratives that communicate insights effectively to both technical and non‑technical stakeholders.

Qualifications

• Degree in a quantitative, data‑related, or built environment discipline, or equivalent practical experience.
• 2+ years of experience working with Snowflake and/or Databricks in a professional environment.
• 2+ years of experience utilizing SQL and Python for data analysis, transformation, automation, or engineering.
• Experience applying machine learning and AI techniques to real‑world business or operational challenges.
• Familiarity with AI and machine learning tools and frameworks such as scikit‑learn, TensorFlow, PyTorch, or cloud‑based machine learning services.
• Understanding of large language models (LLMs) and generative AI, including responsible application within analytics and data products.
• Strong judgment regarding when AI‑driven solutions provide meaningful value and when simpler approaches are more appropriate.
• Experience designing and developing data pipelines and analytical products from complex, real‑world datasets.
• Strong analytical and problem‑solving capabilities with attention to detail and commercial awareness.
• Experience working with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
• Proficiency with data visualization tools including Tableau, Power BI, or similar platforms.
• Strong communication skills with the ability to present technical findings to both clients and internal stakeholders.
• Genuine interest in the built environment and the role technology and data play in shaping its future.

Benefits

• Salary range of $85,000 to $115,000, determined by factors such as geographic location, skills, education, and/or experience.
• Generous benefits package.
• Annual discretionary bonus.
• Generous PTO (4 weeks) plus 10 paid holidays.
• 401k with company match.
• Hybrid working environment and summer hours.
• Reimbursement for certain professional licenses, renewals, and exam fees.
• Connection to a global network of experts and access to wide‑ranging learning and development opportunities.
• Opportunities to contribute to employee‑led networks and initiatives, including Diversity & Inclusion Forum, Women’s Network, Young Employees Forum, Black at Buro Happold, and other employee resource groups.

We are looking forward to your application. Please let us know if any adjustments could make the process easier and more comfortable.