Marketing Data Scientist
5 days ago
We are an Artificial Intelligence company bringing the speed and insight of Applied AI to
Trained on millions of data points, our AI-powered solutions connect
everyone involved in insurance, repairs, and sales of homes and cars – helping people work
faster and smarter, while reducing friction and waste.
Founded in 2014, We are now the AI tool of choice for world-leading insurance and
automotive companies. Our solutions unlock the potential of Applied AI to transform the
whole recovery ecosystem, from assessing damage and accelerating claims and repairs to
recycling parts. They help make response to recovery up to ten times faster – even after
full-scale disasters like floods and hurricanes.
backgrounds, with machine learning researchers and motor engineers collaborating together
own scope by intentionally building a culture centred around collaboration, transparency,
Our team shapes the technical foundations used across all products, currently
focused on auto insurance and natural disaster recovery. latest ML research to solve hard science problems necessary to transform the insurance
We focus on creating mission-critical AI systems solving some of the
trickiest problems in computer vision, and our innovation has already improved the lives of
Our organization is responsible for building products for the automotive industry. Our long-term vision is to build a platform ecosystem that we can leverage to effortlessly
virtual" motor appraiser/expert as a service, we can leverage to solve many use cases
across the automotive industry. We are doing so, by building high-quality input capture
We are working hand-in-hand with engineering teams to turn our R&D prototypes into
AI/ML models and systems. Work with applied scientists, data scientist, software engineers and product partners to
design and deliver AI/ML solutions in production at scale.
- Design and develop AI/ML models, workflows and end-to-end pipelines for data
preparation, training, deployment, monitoring, etc., and ensure the quality of architecture and
design of our ML models and systems.
- Deliver customer-facing and/or underlying AI/ML solutions that empower our platform to
provide the best experience for our customers.
Master's in Computer Science, Machine Learning, or related quantitative field. A PhD in
Computer Science or related fields with a focus on Machine Learning is a strong plus.
- Extensive knowledge and practical experience in several of the following areas: machine
Natural language
Demonstrated experience in building scalable AI/ML models and systems and delivering
Experience programming in Python, C++, or related languages
Experience with machine learning libraries and deep learning frameworks (TensorFlow,
Experience with end-to-end software development and life cycle of machine learning
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