Senior Data Scientist

Valerann is an exciting, rapidly growing AI mobility scale-up based in London and Tel-Aviv. We are a diverse and driven team that is making the road-based transport sector safer, greener, and more equitable through our unique AI and data analytics platform.

We work with governments and the world's largest road operators to make our roads safer, greener, and less congested. Our product already serves roads in Europe, the Americas, and the Middle East and helps road traffic authorities to have a good understanding of real-time traffic conditions and risks.

We do that through data—a lot of data. Our algorithms constantly ingest and process very large sets of structured and unstructured data coming from a broad range of disparate data sources, including connected vehicles, cameras, and crowdsourcing platforms. Our know-how is in deep Data Fusion and Analytics. Our passion is to empower our customers with the tools to use that data to make our journeys safer and greener.

We have made tremendous progress to date, and we need your help to support our growth. We are looking for a Senior Data Scientist to be part of our Data Fusion development effort. Your responsibilities will include:

1. Enhancing automation in our data pipelines
2. Integrating new data sources (traffic/weather/etc.)
3. Quantifying the value of new and existing data services
4. Taking an active role in defining future priorities
5. Providing guidance to junior members of the team
6. Working on project-specific tasks

You will also have the opportunity to engage in the wider research and development activities, especially in the data fusion area.

Who Are We Looking For?

We will review all candidates regardless of whether you think you match all of the items below. That said, the ideal candidate would have:

1. Experience of working in a research and rapid prototyping environment.
2. Experience with developing real-time algorithms.
3. Technical fluency in Python and experience with optimising SQL.
4. Robust Software Engineering skills with experience with writing and debugging production code.
5. An ability to create a compelling narrative through Data Visualisation.
6. Experience with GIS Vector Data.
7. Passion for tackling data challenges in the mobility space.
8. Availability to start soon (we understand notice periods may vary).
9. Willingness to come into our London office in Camden — at least twice a week to begin with.

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