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At Vantage Towers, we’re on a mission to power Europe’s sustainable digital transformation. As a leading tower company, we’re ushering in an era of technology-driven advances to help connect people, businesses, and internet-enabled devices like never before. We combine the scale, stability, and quality of our tower network with the agility, optimism, and energy of a start-up. As a young TowerCo, we have already achieved strong results with a continued focus on accelerating growth and a special emphasis put on sustainability. As part of our team, you’ll work in a dynamic and multicultural environment that embraces open communication, collaboration, and teamwork. If you’re ready to take responsibility and shape the future of telco infrastructure with us, then let’s level up in your career and reach the top – together.
Job Responsibility:
Lead advanced geo-analyses and demand forecasting using network, geospatial, traffic, demographic, and commercial data sources
Apply data science and ML techniques (e.g. forecasting models, clustering, spatial modelling, optimisation) to geo-intelligence use cases
Perform large-scale data processing and feature engineering to support commercial and strategic analyses
Design and automate geo-analytics and data preparation workflows to improve scalability, consistency, and efficiency
Translate complex analytical outputs into clear, decision-oriented insights for Product, Commercial, and senior stakeholders
Support strategic initiatives including network densification, capacity evolution, in-building solutions, and M&A evaluations
Collaborate with IT and data platform teams as a consumer of infrastructure and contributor of analytical requirements, with platform and architectural ownership remaining with IT
Act as a senior reference within the Geo-Intelligence team, coaching analysts on advanced analytical methods and best practices
Requirements:
BSc/MSc in Data Science, AI, Computer Science, or a related technical field
Strong proficiency in Python and SQL for data analysis, modelling, and workflow automation
Hands-on experience with GIS and spatial analytics tools (e.g. QGIS, spatial databases, geospatial Python libraries)
Experience applying ML techniques to forecasting, classification, clustering, and optimisation problems
Familiarity with cloud environments as execution platforms
Strong experience in data science applied to geospatial and network-related problems
Proven ability to handle large, multi-source datasets and build complex analytical pipelines
Expertise in spatial analytics, forecasting, and quantitative modelling
Ability to apply ML methods pragmatically as analytical tools, not as standalone AI products
Strong business acumen, with the ability to frame analyses around commercial and strategic questions
Excellent communication skills, translating technical results into clear business insights