The Data Science team at Urban Sharing is hiring two summer interns for 2020.
Are passionate about data science and urban mobility? Read on!
The Data Science team holds a key role at Urban Sharing. We develop tools, algorithms and models to support both strategic and operational decisions. The team provides analyses to all parts of our company to help us become more data-driven throughout. We believe the future of urban mobility will be shaped by those who understand how to utilize data effectively.
As a summer intern you will join data science team to solve a great variety of analytical tasks. As a growing company, our priorities can often shift from one focus to another. You should come with a degree of flexibility and be willing to develop your professional skills.
We run our stack on Google Cloud. You will work with Google’s cutting-edge technology like BigQuery, DataPrep, DataFlow and ML-Engine to process and understand data. It is not a requirement that you have experience with these products, but you must be ready and willing to learn.
We’re looking for someone who
We can offer you
For questions regarding the position or the company, please contact Hans Martin Espegren ([email protected]), our Data Science Team lead.
Urban Sharing (www.urbansharing.com) is the Norwegian technology startup behind a multi-vehicle platform which powers shared micromobility systems, including one of the world’s most efficient bike sharing schemes, Oslo City Bike.
Urban Sharing believes that a multi-modal approach to transportation, where micromobility plays a vital role, is key to navigating this new urban reality. Our software uses machine learning to analyse user-data to optimize the usage of every fleet incorporating its technology. It enables our customers to meet the demands of their users in real time.
Both real-time and historical data from all of Urban Sharing’s micromobility platforms is shared directly with our partners. We use this data to help our customers develop a robust, concise, and efficient operations strategy, which enables them to reduce costs, increase revenue, and better serve their users.
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