Senior Consultant - AI & Data Science📣 Job Ad

About the Role

Buro Happold is seeking a Senior Consultant - AI & Data Science to join our team in Riyadh, Saudi Arabia. This role offers an opportunity to contribute to significant projects and clients, fostering professional growth within a practice committed to equity and sustainability. The position involves taking end-to-end ownership of advanced analytics and machine learning solutions, from problem framing and data exploration through to deployment, monitoring, and continuous improvement.

As a Senior Consultant, you will collaborate with business stakeholders, product teams, and technology functions to translate complex data into actionable insights and scalable AI products. This role is part of a strategic initiative that promotes a strong learning culture and an entrepreneurial mindset, focusing on sustainability, equity, social, and performance outcomes.

Key Responsibilities

• Engage with stakeholders to understand business challenges and define AI and data science use cases.
• Collect, clean, and engineer data from various sources to create feature sets for modeling.
• Develop, validate, and optimize machine learning and statistical models, including classification, regression, forecasting, clustering, and recommendation systems.
• Build and maintain production-grade pipelines for model training, deployment, and monitoring in collaboration with data engineering and IT teams.
• Design and implement experiments, A/B tests, and performance evaluation frameworks to quantify model impact.
• Communicate findings and recommendations through dashboards, visualizations, and presentations for both technical and non-technical audiences.
• Contribute to the development of AI standards, best practices, and reusable components such as feature stores and model templates.
• Stay current with advances in AI/ML, data science tools, and MLOps practices, assessing their relevance for the organization.

Qualifications and Requirements

• Minimum of 5 years of hands-on experience in data science or machine learning roles, with a proven track record of delivering production-ready solutions.
• Solid experience with supervised and unsupervised learning techniques, model evaluation, feature engineering, and hyperparameter tuning.
• Practical experience working with SQL and relational databases.
• Familiarity with big data or cloud data platforms is considered an advantage.
• Experience building end-to-end workflows from data ingestion to model deployment, ideally with exposure to MLOps tools and practices.
• Strong analytical and problem-solving skills, with the ability to structure ambiguous problems and work effectively with imperfect data.
• Proven ability to explain complex concepts clearly to non-technical stakeholders and to influence data-driven decisions.
• Highly organized, detail-oriented, and rigorous in approach to data and schedule integrity.
• Proactive and solution-driven, with a strong sense of ownership for deadlines and deliverables.
• A collaborative team player, comfortable working with multidisciplinary and multicultural teams.
• Ability to work under pressure, manage multiple priorities, and adapt to evolving project needs.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative discipline (or equivalent relevant experience). A strong digital and design background is welcomed.

Key Skills

• AI & Data Science
• Advanced Analytics
• Machine Learning
• Problem Framing
• Data Exploration
• Model Development
• Model Validation
• Deployment
• Monitoring
• Continuous Improvement
• Stakeholder Engagement
• Data Engineering
• Collaboration with IT Teams
• Experiment Design
• A/B Testing
• Performance Evaluation Frameworks
• Dashboard Creation
• Data Visualization
• Presentation Skills
• AI Standards Development
• Best Practices Implementation
• Reusable Component Development
• Feature Stores
• Model Templates
• MLOps Practices
• Supervised Learning
• Unsupervised Learning
• Model Evaluation
• Feature Engineering
• Hyperparameter Tuning
• SQL
• Relational Databases
• Big Data Platforms
• Cloud Data Platforms
• End-to-End Workflows
• Data Ingestion
• MLOps Tools
• Analytical Skills
• Problem Solving
• Communication
• Organizational Skills
• Detail Orientation
• Rigorous Approach
• Proactiveness
• Solution Driven Mindset
• Ownership
• Teamwork
• Adaptability

Work Environment and Location

This is a contract role based in Riyadh, Saudi Arabia. Buro Happold values flexible working patterns and welcomes applications from those seeking flexibility. The company is committed to diversity and inclusion, appreciating differences and encouraging employees to bring their whole selves to work. Individuals who feel underrepresented in the built environment industry are particularly encouraged to apply.