Senior Housing Economist & Data Scientist
Immoweb ltd.
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Benefits offered by this job
Job summary
Immoweb seeks a Senior Housing Economist & Data Scientist to bridge housing data, Marketing and Product. You will lead cross‑functional initiatives across Economics, Data Science and Leadership to turn indicators into actionable content and features for users and the business.
You will explore diverse datasets, build market indicators (AVM or hedonic indices), develop dashboards and data products, and collaborate with academia, public institutions and partners to strengthen Immoweb’s position as
Qualifications
- Master’s degree in Economics, Econometrics, Data Science or related field.
- 5+ years of experience in data science, applied economics or market analytics.
- Experience in housing, real estate or marketplace preferred.
Responsibilities
- Own the link between housing data, Marketing and Product, turning indicators into actionable content.
- Explore, clean and analyze diverse datasets to extract insights and build models.
- Develop dashboards and data products; collaborate with academia and partners.
Skills
Education
Tools
Job description
Immoweb is Belgium’s reference real estate platform, helping millions of people find a home across the country. Here, data is not a support function: it is a core driver of product, business strategy and market transparency.
By joining the Housing Data Science & Economics tea, you will turn the richness of our data into indicators, content and product features that create real value for our users and strengthen Immoweb’s position as the reference for the Belgian housing market.
You will also be part of a great international team: Immoweb belongs to AVIV Group, a leading European PropTech company whose brands include Immowelt, SeLoger and Meilleurs Agents, giving you access to housing data far beyond Belgium.
You will also be part of a great international team: Immoweb belongs to AVIV Group, a leading European PropTech company whose brands include Immowelt, SeLoger and Meilleurs Agents, giving you access to housing data far beyond Belgium.
A highly collaborative environment with top-tier data and research experts.
Exposure to European housing markets (Belgium, France, Germany).
As Senior Housing Economist & Data Scientist, you will own the link between housing data, Marketing and Product. This role sits at the intersection of:
Economics & content: market indicators, research and storytelling,
Data science & modelling: Python-based analysis & production, and housing market insights models,
Leadership & partnership: initiatives that bring housing data into actionable marketing actions and impactful product evolutions, from idea to impact.
Your objective: lead initiatives that turn market data into content, tools and features that create value for the platform; their users and the business.
Data Science
Explore, clean, and analyze diverse datasets to extract relevant insights,
Identify key market indicators and build tailored quantitative or machine learning models (AVM or hedonic indices-type),
Maintain and regularly update market indicators autonomously using clean, efficient, and well-structured code.
Housing economics x Marketing
Turn indicators into strategic content: market reports, Press Releases, SEO pages and editorial articles to bring traffic and visibility,
Developing and maintaining data collaborations with academia, public institutions and private sector partners.
Position Immoweb as the trusted expert of the Belgian housing market.
Housing decision making x Product
Identify valuable tools for users related with housing decision making,
Translate housing data and market insights into interpretable insights and decision-making tools for sellers, buyers and professionals
Prototype data products and dashboards (e.g. Streamlit) and automate recurring analyses
Leadership & quality
Lead cross-functional initiatives with Marketing and Product teams: define the opportunity, align stakeholders, deliver and measure impact
Ensure data quality, consistency and economic robustness of all outputs
Set methodological standards, review code and share knowledge with the team
Your objective: lead initiatives that turn market data into content, tools and features that create value for the platform; their users and the business.
Direct impact on millions of users and strategic business decisions within Immoweb as well as on agents and partner’s side.
A leading role in shaping Immoweb’s data-driven offering in Belgium
The opportunity to become a spokesperson for Immoweb on the Belgian housing market (media, press and events). We’ll put the necessary training in place to reach the highest possible standards.
Master’s degree in Economics, Econometrics, Data Science or a related field
5+ years of experience in data science, applied economics or market analytics, including leading projects and initiatives
Experience in housing, real estate or marketplace/classifieds is strongly preferred
Advanced Python (pandas, numpy, statistical modelling) and solid SQL; clean, reproducible, versioned code
Strong statistics and econometrics: regressions, hypothesis testing, price indices, clustering, forecasting
Experience building data products, dashboards or analytical apps and working with large, imperfect datasets
Strong capacity to validate results, stress-test models and check that outputs make real-world sense
Ability to turn data into clear indicators, stories and content for non-technical audiences
Ability to use AI responsibly in your daily work: knowing when it adds value, and when it needs critical review.
Proven ability to lead initiatives and influence Marketing and Product stakeholders
Acts as an analytical decision partner, not a data provider: proposes analyses and launches investigations independently
Practical and business-oriented: values impact over model complexity
Ownership-driven, collaborative, and committed from idea to analysis to impact
Advanced French or Dutch
Advanced English
This is not a machine learning engineering or AI research position (LLMs, MLOps, production AI systems) However, pragmatic use of AI tools to speed up analysis and prototyping, with the judgment to validate outputs and keep our indicators rigorous and reliable is supported.. Our focus is on interpretable, business-oriented models that can be deployed quickly and generate valuable market insights for the business, B2C (everyone seeking to buy or rent) as well as B2B (real estate agents).
Proven ability to lead initiatives and influence Marketing and Product stakeholders
Acts as an analytical decision partner, not a data provider: proposes analyses and launches investigations independently
Practical and business-oriented: values impact over model complexity
Ownership-driven, collaborative, and committed from idea to analysis to impact
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