Data Scientist

About this role: McKenzie Intelligence Services (MIS) We're a rapid-growth SaaS company specializing in natural disaster intelligence for swift responses to crises affecting people. We have a stunning capability to analyze the disastrous effects of catastrophic events almost instantly after their occurrence. In the three years following the debut of our GEO platform, we've assisted our clients in processing claims at a record pace, and swiftly providing monetary help to those undergoing hardship. We're currently in the market for a proficient Data Scientist to augment our team. If your passion is developing Machine Learning and Computer Vision Models, we're keen to connect with you. Our Mission: Our primary goal is to revolutionize the insurance industry's natural disaster claims processing time and expedite financial assistance to those in need through an exciting fusion of satellites, drones, machine learning, and human-led analysis. Our values are: Innovative: We place innovation at the center of everything we do, constantly pushing the boundaries of what's possible to create meaningful and beneficial impacts. Trusted: We provide certainty amidst confusion and are reliable during critical times for our customers, partners, and team. Collaborative: We work cooperatively, share knowledge, and provide mutual support to our team, clients, and partners. If you decide to apply, here's what to expect: An initial phone call with our Talent team A take-home test First interview with our Head of Technology Second interview with a senior manager Final interview with our wider technical team Responsibilities: Design and develop Machine Learning and Computer Vision models Deploy models into production using Azure Cloud Work in conjunction with cross-functional teams, including Engineering, Intelligence, and Product Use your data science expertise to enhance MIS' existing systems and architecture Stay well-informed about the latest trends and technologies in data science and geospatial analysis Requirements: A PhD in Computer Science, Data Science, Artificial Intelligence, or a related field A solid foundation in Data Science, focusing on Machine Learning, Computer Vision, and Deep Learning Proficiency in Python and machine learning libraries (such as scikit-learn, numpy, scipy, pandas, etc.) Proficiency with computer vision libraries (Tensorflow, OpenCV, Keras, PyTorch, YOLO, etc.) Demonstrated ability to design, construct, and sustain machine learning pipelines Commercial experience working in the cloud, preferably in Azure Exceptional analytical and problem-solving abilities, with an eye for detail Benefits: Salary range of £60-70K, subject to experience Remote role with periodic office visits (primarily in London) 25 days of annual leave (including 3 days during the Christmas holiday) + UK bank holidays Wednesday Lunch Club allowance Enriched maternity/paternity policy Sick pay beyond standard statutory pay Regular team social events Employee stock option scheme (subject to approval and a qualifying period)