Data Scientist

Job title – Applied Scientist / Data Scientist Who are we? We are an Artificial Intelligence company bringing the speed and insight of Applied AI to visual assessment. 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. it has a world-class culture, backed up by our team, making us a global employer of choice We're a diverse team, uniting individuals of over 40 different nationalities and from varied backgrounds, with machine learning researchers and motor engineers collaborating together on a daily basis. We empower each team member to have tangible impact and grow their own scope by intentionally building a culture centred around collaboration, transparency, autonomy and continuous learning. Our team shapes the technical foundations used across all products, currently focused on auto insurance and natural disaster recovery. Our mission is to leverage the latest ML research to solve hard science problems necessary to transform the insurance industry (& more). 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 100,000s of people so far (really). We’re a fun and ambitious team, and looking for someone to join us on our exciting journey Auto organization – Who we are & What we do Our organization is responsible for building products for the automotive industry. We have already built 2 products (Estimating, Review) sold globally to insurers. Our long-term vision is to build a platform ecosystem that we can leverage to effortlessly build new products and use cases. Our current mission is to create a reliable and safe “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 mechanisms for our users, creating a state-of-the-art damage assessment stack for auto damage, or delivering explainable and human-centric decision-making engines. We are working hand-in-hand with engineering teams to turn our R&D prototypes into mission-critical systems. What will you be doing? As an Applied scientist, you will contribute to the design, development, and improvement of AI/ML models and systems. You will be expected to: - 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. What we’re looking for... BASIC QUALIFICATIONS - 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 vision (classical methods and deep learning) and information retrieval. Natural language processing is a plus. - Demonstrated experience in building scalable AI/ML models and systems and delivering end-to-end solutions in a production environment. - Experience programming in Python, C++, or related languages PREFERRED QUALIFICATIONS - Publications at top-tier peer-reviewed conferences or journals or a proven track record of industry innovation in creating novel solutions and advancing the state of the art. - Experience with machine learning libraries and deep learning frameworks (TensorFlow, PyTorch, etc.) - Experience with end-to-end software development and life cycle of machine learning solutions. - Excellent verbal and written communication skills, with the ability to communicate complex technical concepts and solutions to all levels of the organization