Overview

As a Data Scientist with a specialization in Real Estate Advisory, you will work with our Strategy and Consultancy service line conducting thorough research, analyzing, and interpreting market data to provide strategic insights to our clients. Leveraging your proficiency in data analysis, statistical modeling, and geospatial analysis, you will actively contribute to crafting customized solutions that tackle the distinct challenges and opportunities within the real estate sector. This role demands direct client interaction, underscoring the need for exceptional communication abilities to proficiently convey findings and recommendations to stakeholders.

Responsibilities

• Conduct thorough research on real estate markets, including trends, demographics, economic indicators, and regulatory factors.
• Analyze large datasets to identify patterns, correlations, and market dynamics that impact property values, demand-supply dynamics, and investment opportunities.
• Utilize advanced statistical techniques and predictive modeling to forecast market trends and assess potential risks and opportunities.
• Gather and curate diverse datasets from multiple sources, including public records, proprietary databases, and third-party providers.
• Develop and maintain data pipelines to ensure data accuracy, consistency, and accessibility for analysis.
• Implement data cleaning and preprocessing techniques to address data quality issues and prepare datasets for analysis.
• Apply geospatial analysis techniques to understand spatial relationships, proximity to amenities, and geographical influences on property values and market dynamics.
• Utilize geographic information systems (GIS) and mapping tools to visualize data and present insights in a spatial context.
• Create interactive maps and visualizations to communicate complex information effectively to clients and stakeholders.
• Collaborate closely with clients to understand their business objectives, challenges, and requirements.
• Translate technical analysis into actionable insights and strategic recommendations tailored to client needs.
• Prepare and deliver compelling presentations, reports, and dashboards that convey key findings, trends, and recommendations in a clear and concise manner.
• Stay abreast of emerging trends, methodologies, and technologies in data science, real estate, and related fields.
• Experiment with new tools, algorithms, and techniques to enhance analytical capabilities and drive innovation in real estate analytics.
• Proactively identify opportunities for process improvement and contribute to the development of best practices and standards within the organization.
• Refer business leads or other potential fee earning opportunities into other parts of the Middle East and Global business.
• Build and maintain goodwill, confidentiality, and trust with prospective and existing clients at all times in order to foster the professional image of the Partnership.
• Other tasks as required.

Skills and Qualifications

• Bachelor's degree in Data Science, Statistics, Economics or a related field.
• Proven experience in data analysis, statistical modeling, and machine learning techniques, with a focus on real estate or related industries preferred. Prior experience in the real estate industry or real estate advisory services is advantageous.
• Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights and recommendations.
• Excellent communication and presentation skills, with the ability to convey technical concepts to non-technical audiences effectively.
• Ability to work independently and manage multiple projects simultaneously.
• Ability to work collaboratively with team members.
• Ability to work effectively in a fast-paced and dynamic environment.
• Ability to maintain confidentiality and handle sensitive information.
• Flexibility in working with clients, teams and projects across time zones and different working weeks.
• Understanding of regional business culture and regulations.
• The ability to understand and make use of computers and information technology (Knight Frank internal systems).
• Certifications and Licenses: UAE driving license.
• Software: Microsoft Office programs to an advanced level. Proficiency in programming languages such as Python, R, or SQL, and experience with data manipulation and visualization libraries (Pandas, Matplotlib, ggplot2). Familiarity with geospatial analysis tools and techniques, such as GIS software (ArcGIS, QGIS), spatial databases (PostGIS), and mapping libraries (Leaflet, Mapbox).
• Language skills: Fluency in English, written and verbal. Fluency in Arabic or other languages is advantageous.
• Travel: Flexible attitude towards travelling.

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