Principal Data Scientist - Property Management

About the role

The Principal Data Scientist acts as the technical authority for advanced analytics and data science within Property Management, reporting to the Head of the PM Strategy Hub. The role leads the design and deployment of machine learning, AI and predictive analytics solutions that deliver measurable business value, turns business priorities into scalable data products, sets analytical standards and mentors data science practitioners.

Key responsibilities

• Lead the design, development, validation and deployment of machine learning, AI, statistical and predictive analytics solutions.
• Develop scalable data products that support operational and strategic decision-making.
• Translate business requirements into analytical frameworks, models and solutions, and turn outputs into clear recommendations for senior stakeholders.
• Set technical standards for model development, validation, coding, documentation and analytical quality.
• Analyse large datasets to identify patterns, trends, risks, opportunities and business drivers.
• Integrate models and data products into business processes and existing technology environments.
• Develop reusable, modular, production-grade code and define and monitor KPIs for data products.
• Implement data and model quality controls and champion data governance, security, privacy and regulatory requirements with IT, Legal and Compliance.
• Mentor data scientists and analytics professionals, evaluate emerging technologies and support continuous improvement of analytics practices.

Required profile

• Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, Economics, Mathematics or a related field.
• 7-10 years of data science and advanced analytics experience, including 3-5 years in a senior technical leadership or managerial capacity.
• Proven track record in applied machine learning, predictive analytics and statistical modelling, and in leading complex data science initiatives across business areas.
• Experience mentoring data science professionals.
• Desirable: Master's degree; real estate, property management, asset management, pricing optimization or marketing analytics experience; business intelligence and visualization platforms; Agile and Jira; cloud analytics, ML platforms, MLOps or generative AI.

Required skills

• Advanced statistical analysis, machine learning and AI modelling.
• Predictive modelling and forecasting.
• Python, R and SQL (advanced).
• Data collection, cleaning, validation and visualization.
• Survey and experimental design.