onsite
Data Scientist - Arup
Data Scientist
Data Scientist role focused on transport and urban analytics, leveraging Python, machine learning, GIS and SQL to model complex city systems and support evidence‑based planning for sustainable, inclusive transport solutions.
About the role
Key Responsibilities
- Develop and deploy machine learning models to analyze transport patterns and predict future mobility trends.
- Integrate GIS data with statistical models to support urban planning and policy recommendations.
- Collaborate with multidisciplinary teams to translate complex data insights into actionable transport solutions.
- Design and maintain robust data pipelines, ensuring data quality and accessibility for stakeholders.
- Present findings to clients and internal teams, translating technical results into clear, impactful narratives.
Requirements
- Strong programming skills in Python and experience with libraries such as pandas, scikit-learn, and GeoPandas.
- Proven expertise in machine learning, statistical analysis, and data visualization.
- Hands‑on experience with GIS tools (ArcGIS, QGIS) and spatial data processing.
- Solid understanding of transport planning concepts and urban analytics.
- Excellent communication skills and ability to work collaboratively in a multidisciplinary environment.
Skills
pythonmachine learningdata analysissql