Data Scientist

June 4

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Sprout.ai

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AI powered insurance claims automation

AI • Fraud detection • Insurance • Claims automation

51 - 200

Description

• Develop features for our state-of-the-art claims automation platform.\n• Research, build and deploy machine learning algorithms and models to production within product teams.\n• Provide technical guidance and input on the design and implementation of machine learning algorithms.\n• Support with customer PoVs and onboarding.\n• Understand business problems and product requirements and help translate these into technical solutions.\n• Execute and deliver full AI/ML solutions from sourcing training data, design and implementing state-of-the-art machine learning models, testing, benchmark and product-driven research for model performance improvement, to shipping stable, tested, performant code in an agile environment.\n• Work closely with Product Managers to help shape the product roadmap.\n• Contribute to Data Science strategy and the Data Science roadmap in conjunction with our Head of AI.\n• Proactively seek to improve the way that Data Science operates at Sprout.ai.\n• Support the education of the business and customers on how our Data Science teams work.\n• Stay updated on the latest trends and advancements in Artificial Intelligence.

Requirements

• Proven experience of having delivered successful Computer Vision or NLP projects into production • Strong understanding of software development fundamentals, in particular deploying models to production. • Demonstrate expertise in deep learning for computer vision, natural language processing, reinforcement learning etc • Displays in depth knowledge in machine learning best practices, scalable training and deployment, model introspection and evaluation • Strong fundamentals in Mathematics, Statistics and Data Analysis • Experience working in an Agile environment and knowledge of how Agile methodologies can be applied to Data Science teams in terms of process, practice, team culture and the delivery of work • Ability to convert vague customer requirements or business challenges into well-defined machine learning solutions

Benefits

• Choice-first flexible working - we offer fully remote or hybrid-working options • Strong salaries which are benchmarked annually • Generous share options - every single member of our team has shares in Sprout • Location-specific benefits - for UK Sprouts, this includes Bupa private medical and dental insurance, 28 days of annual leave (plus bank holidays), Learning & Development budget. • A culture built around values of Growth, Ownership, Innovation and Collaboration.