Sprout.ai LTD
Salary banding: £40,000 - £50,000 Working Pattern: Hybrid - 2 days per week in the office Location: London Role Summary Our Customer Engagement team is responsible for ensuring that every Sprout.ai customer receives the best possible outcomes from our product, that our deployments are successfully delivered on time, and that we are generating the value that we've committed to delivering. The Implementation Consultant role is part of a new Implementation team within Sprout, and will be one of the earliest members of the Customer Engagement team dedicated to post-sales implementation and platform configuration projects as we continue to expand our customer base. The role will report to the Head of Customer Engagement at Sprout, with good upside to establish processes around how we develop our product and implement it for customers, and future opportunity to grow and lead with our Customer Engagement team. As the world continues to find new and innovative use cases for Artificial Intelligence, you will be at the forefront of this, deploying truly boundary-pushing technology into some of the world's largest businesses and helping to create and train new AI models using our low-code configuration tooling. If you're an ambitious technologist with a good blend of technical and communication skills, and believe in the power of enterprise AI to make a positive impact on millions of insurance policyholders around the world, we'd love to meet you. Responsibilities Customer Delivery and Configuration Configure, and deliver solutions using the Sprout.ai platform Liaise with Engineering to deliver integrations between Sprout and our customers' systems Liaise with Data Science to implement & optimise AI document-processing models, AI workflows, and automation processes related to claim management Troubleshoot and resolve technical issues related to Sprout implementations and PoCs Solution Design Design and architect end-to-end solutions leveraging Sprout.ai's claim automation platform Liaise with engineering to create detailed solution designs, integration architecture, and technical documentation Provide technical guidance and best practices to clients and internal teams Evaluate client requirements and propose appropriate Sprout.ai solutions Customer Success Advise clients on Sprout.ai best practices Provide technical expertise during implementation projects Develop implementation processes and guides to standardise the onboarding process for customers. Conduct training sessions for clients and internal teams Stay up-to-date with the latest Sprout features and industry trends in claim automation Requirements 1-2 years experience working with process automation or low code platforms Familiarity with integration technologies (JSON, REST APIs) Knowledge of programming languages such as JavaScript and Python Excellent communication and presentation skills Excellent stakeholder management skills Strong problem-solving and analytical abilities Nice to Have Experience delivering complex technology solutions as part of a delivery team Experience in solution design and architecture for enterprise-level projects Sprout.ai Values Hungry for Growth - Unleash your inner Sprout: Sprouts embrace growth, forget comfort zones, and help Sprout.ai thrive. Own It, Deliver It - We commit, we deliver, and we exceed expectations - it's how we achieve outstanding outcomes for our customers. Seed Innovation - The future is shaped by those who dare to innovate. We embrace this mindset, planting the seeds for future growth, experimenting fearlessly and taking bold actions that unleash our ability to scale. Collaborate to Blossom - We cultivate collaboration, working together to create a vibrant and diverse ecosystem where every Sprout can thrive. It drives better results, and creates a better environment for us all. Compensation, benefits and perks Salary banding: £40,000 - £50,000 dependent on experience. Annual pay reviews. Sprout.ai Share Options Generous annual leave Hybrid and flexible working practices Learning and Development budget Regular socials Macbook Pro + home working setup About Sprout.ai Sprout.ai was established in London, UK in 2018 with a mission to help people in their time of need when making an insurance claim. Inefficient claims processing for the insurer meant that customer experience was suffering and people were losing faith in their insurance policies. The average insurance customer was having to wait over 25 days to receive an outcome on their claim, often in times of vulnerability. The barriers to rapid claims settlement were clear; understanding of unstructured data, complexity and volume of decision making, legacy systems and processes. Sprout.ai's patented claims automation platform solves these challenges, and has already delivered instant claims settlement on millions of insurance claims around the world. Our proprietary AI products can automate every step of the claims journey: extracting and enhancing relevant claims data, cross-checking this with policies and providing recommendations to conclude a claim in near real-time. Our tools are allowing claims handlers to spend more time with customers, where human touch and empathy can make the most difference to their customers. Leading VCs saw our company vision to 'make every claim better' and have supported our growth journey. This includes our $11M Series A led by Octopus Ventures in 2021 and in total we have raised over $20M.
Salary banding: £40,000 - £50,000 Working Pattern: Hybrid - 2 days per week in the office Location: London Role Summary Our Customer Engagement team is responsible for ensuring that every Sprout.ai customer receives the best possible outcomes from our product, that our deployments are successfully delivered on time, and that we are generating the value that we've committed to delivering. The Implementation Consultant role is part of a new Implementation team within Sprout, and will be one of the earliest members of the Customer Engagement team dedicated to post-sales implementation and platform configuration projects as we continue to expand our customer base. The role will report to the Head of Customer Engagement at Sprout, with good upside to establish processes around how we develop our product and implement it for customers, and future opportunity to grow and lead with our Customer Engagement team. As the world continues to find new and innovative use cases for Artificial Intelligence, you will be at the forefront of this, deploying truly boundary-pushing technology into some of the world's largest businesses and helping to create and train new AI models using our low-code configuration tooling. If you're an ambitious technologist with a good blend of technical and communication skills, and believe in the power of enterprise AI to make a positive impact on millions of insurance policyholders around the world, we'd love to meet you. Responsibilities Customer Delivery and Configuration Configure, and deliver solutions using the Sprout.ai platform Liaise with Engineering to deliver integrations between Sprout and our customers' systems Liaise with Data Science to implement & optimise AI document-processing models, AI workflows, and automation processes related to claim management Troubleshoot and resolve technical issues related to Sprout implementations and PoCs Solution Design Design and architect end-to-end solutions leveraging Sprout.ai's claim automation platform Liaise with engineering to create detailed solution designs, integration architecture, and technical documentation Provide technical guidance and best practices to clients and internal teams Evaluate client requirements and propose appropriate Sprout.ai solutions Customer Success Advise clients on Sprout.ai best practices Provide technical expertise during implementation projects Develop implementation processes and guides to standardise the onboarding process for customers. Conduct training sessions for clients and internal teams Stay up-to-date with the latest Sprout features and industry trends in claim automation Requirements 1-2 years experience working with process automation or low code platforms Familiarity with integration technologies (JSON, REST APIs) Knowledge of programming languages such as JavaScript and Python Excellent communication and presentation skills Excellent stakeholder management skills Strong problem-solving and analytical abilities Nice to Have Experience delivering complex technology solutions as part of a delivery team Experience in solution design and architecture for enterprise-level projects Sprout.ai Values Hungry for Growth - Unleash your inner Sprout: Sprouts embrace growth, forget comfort zones, and help Sprout.ai thrive. Own It, Deliver It - We commit, we deliver, and we exceed expectations - it's how we achieve outstanding outcomes for our customers. Seed Innovation - The future is shaped by those who dare to innovate. We embrace this mindset, planting the seeds for future growth, experimenting fearlessly and taking bold actions that unleash our ability to scale. Collaborate to Blossom - We cultivate collaboration, working together to create a vibrant and diverse ecosystem where every Sprout can thrive. It drives better results, and creates a better environment for us all. Compensation, benefits and perks Salary banding: £40,000 - £50,000 dependent on experience. Annual pay reviews. Sprout.ai Share Options Generous annual leave Hybrid and flexible working practices Learning and Development budget Regular socials Macbook Pro + home working setup About Sprout.ai Sprout.ai was established in London, UK in 2018 with a mission to help people in their time of need when making an insurance claim. Inefficient claims processing for the insurer meant that customer experience was suffering and people were losing faith in their insurance policies. The average insurance customer was having to wait over 25 days to receive an outcome on their claim, often in times of vulnerability. The barriers to rapid claims settlement were clear; understanding of unstructured data, complexity and volume of decision making, legacy systems and processes. Sprout.ai's patented claims automation platform solves these challenges, and has already delivered instant claims settlement on millions of insurance claims around the world. Our proprietary AI products can automate every step of the claims journey: extracting and enhancing relevant claims data, cross-checking this with policies and providing recommendations to conclude a claim in near real-time. Our tools are allowing claims handlers to spend more time with customers, where human touch and empathy can make the most difference to their customers. Leading VCs saw our company vision to 'make every claim better' and have supported our growth journey. This includes our $11M Series A led by Octopus Ventures in 2021 and in total we have raised over $20M.
Sprout.ai LTD
Working Pattern: Remote Location: United Kingdom As a company for whom AI is the product, it should be no surprise that our Data Science team is at the heart of everything we do at Sprout - building innovative products, researching new techniques for using Artificial Intelligence in claims automation, and pushing the boundaries of what our product can achieve. As a globally dispersed team, our Data Scientists bring together a diverse range of expertise and backgrounds; what unites us is a desire to learn, a mastery of our discipline, strong mathematical and statistical skills, and software engineering prowess. We typically specialise in fields such as Computer Vision, Natural Language Processing and Deep Learning. Our Data Scientists are responsible for all aspects of the AI lifecycle, from understanding business problems, preparing training data, designing and building models, and deploying them into production. We work in cross-functional squads, so you will work collaboratively with other Data Scientists, Software Engineers, Product and Engagement Managers on your designated project. You will not only lead the development of sophisticated ML models but also shape the future of our AI capabilities. You will have the opportunity to mentor junior team members, influence strategic decisions, and directly impact our customers' experiences. If you are passionate about transforming industries with AI and want to work with an innovative, ambitious team, we would love to hear from you. Apply now and help shape the future of claims automation. Responsibilities Develop features for our state-of-the-art claims automation platform Research, build and deploy machine learning algorithms and models to production within product teams Provide technical guidance and input on the design and implementation of machine learning algorithms Support with customer PoVs and onboarding Understand business problems and product requirements and help translate these into technical solutions 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. Work closely with Product Managers to help shape the product roadmap from a Data Science perspective Contribute to Data Science strategy and the Data Science roadmap in conjunction with our Head of AI Proactively seek to improve the way that Data Science operates at Sprout.ai Support the education of the business and customers on how our Data Science teams work Stay updated on the latest trends and advancements in Artificial Intelligence. Skills, Knowledge, and Experience Technical proficiency You write production-grade, scalable Python code, ensuring that your models are robust, maintainable, and optimised for performance. Comfortable with PyTorch Knowledge of Transformer-based models Knowledge of Large Language Models (LLMs) Proven experience of having delivered successful Computer Vision or LLM projects into production Strong understanding of software development fundamentals, in particular deploying models to production and how to set up pipelines. 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 customer requirements or business challenges into well-defined machine learning solutions We are using many technologies day to day such as various AWS services, GCP, Kubernetes, Ray Serve, Kubeflow, and ReTool. Any experience in these areas would be a bonus Sprout.ai Values Hungry for Growth - Unleash your inner Sprout: Sprouts embrace growth, forget comfort zones, and help Sprout.ai thrive. Own It, Deliver It - We commit, we deliver, and we exceed expectations - it's how we achieve outstanding outcomes for our customers. Seed Innovation - The future is shaped by those who dare to innovate. We embrace this mindset, planting the seeds for future growth, experimenting fearlessly and taking bold actions that unleash our ability to scale. Collaborate to Blossom - We cultivate collaboration, working together to create a vibrant and diverse ecosystem where every Sprout can thrive. It drives better results, and creates a better environment for us all. Compensation, benefits and perks Sprout.ai Share Options 28 days' annual leave (plus bank holidays) Hybrid working with up to 4 days per week working from home Private Health Insurance + Dental Insurance Learning and Development budget Monthly socials, both in London and Virtual WeWork perks - barista, social events, snacks etc. Macbook Pro + home working setup About Sprout.ai Sprout.ai was established in London, UK in 2018 with a mission to help people in their time of need when making an insurance claim. Inefficient claims processing for the insurer meant that customer experience was suffering and people were losing faith in their insurance policies. The average insurance customer was having to wait over 25 days to receive an outcome on their claim, often in times of vulnerability. The barriers to rapid claims settlement were clear; understanding of unstructured data, complexity and volume of decision making, legacy systems and processes. Sprout.ai's patented claims automation platform solves these challenges, and has already delivered instant claims settlement on millions of insurance claims around the world. Our proprietary AI products can automate every step of the claims journey: extracting and enhancing relevant claims data, cross-checking this with policies and providing recommendations to conclude a claim in near real-time. Our tools are allowing claims handlers to spend more time with customers, where human touch and empathy can make the most difference to their customers. Leading VCs saw our company vision to 'make every claim better' and have supported our growth journey. This includes our $11M Series A led by Octopus Ventures in 2021 and in total we have raised over $20M.
Working Pattern: Remote Location: United Kingdom As a company for whom AI is the product, it should be no surprise that our Data Science team is at the heart of everything we do at Sprout - building innovative products, researching new techniques for using Artificial Intelligence in claims automation, and pushing the boundaries of what our product can achieve. As a globally dispersed team, our Data Scientists bring together a diverse range of expertise and backgrounds; what unites us is a desire to learn, a mastery of our discipline, strong mathematical and statistical skills, and software engineering prowess. We typically specialise in fields such as Computer Vision, Natural Language Processing and Deep Learning. Our Data Scientists are responsible for all aspects of the AI lifecycle, from understanding business problems, preparing training data, designing and building models, and deploying them into production. We work in cross-functional squads, so you will work collaboratively with other Data Scientists, Software Engineers, Product and Engagement Managers on your designated project. You will not only lead the development of sophisticated ML models but also shape the future of our AI capabilities. You will have the opportunity to mentor junior team members, influence strategic decisions, and directly impact our customers' experiences. If you are passionate about transforming industries with AI and want to work with an innovative, ambitious team, we would love to hear from you. Apply now and help shape the future of claims automation. Responsibilities Develop features for our state-of-the-art claims automation platform Research, build and deploy machine learning algorithms and models to production within product teams Provide technical guidance and input on the design and implementation of machine learning algorithms Support with customer PoVs and onboarding Understand business problems and product requirements and help translate these into technical solutions 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. Work closely with Product Managers to help shape the product roadmap from a Data Science perspective Contribute to Data Science strategy and the Data Science roadmap in conjunction with our Head of AI Proactively seek to improve the way that Data Science operates at Sprout.ai Support the education of the business and customers on how our Data Science teams work Stay updated on the latest trends and advancements in Artificial Intelligence. Skills, Knowledge, and Experience Technical proficiency You write production-grade, scalable Python code, ensuring that your models are robust, maintainable, and optimised for performance. Comfortable with PyTorch Knowledge of Transformer-based models Knowledge of Large Language Models (LLMs) Proven experience of having delivered successful Computer Vision or LLM projects into production Strong understanding of software development fundamentals, in particular deploying models to production and how to set up pipelines. 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 customer requirements or business challenges into well-defined machine learning solutions We are using many technologies day to day such as various AWS services, GCP, Kubernetes, Ray Serve, Kubeflow, and ReTool. Any experience in these areas would be a bonus Sprout.ai Values Hungry for Growth - Unleash your inner Sprout: Sprouts embrace growth, forget comfort zones, and help Sprout.ai thrive. Own It, Deliver It - We commit, we deliver, and we exceed expectations - it's how we achieve outstanding outcomes for our customers. Seed Innovation - The future is shaped by those who dare to innovate. We embrace this mindset, planting the seeds for future growth, experimenting fearlessly and taking bold actions that unleash our ability to scale. Collaborate to Blossom - We cultivate collaboration, working together to create a vibrant and diverse ecosystem where every Sprout can thrive. It drives better results, and creates a better environment for us all. Compensation, benefits and perks Sprout.ai Share Options 28 days' annual leave (plus bank holidays) Hybrid working with up to 4 days per week working from home Private Health Insurance + Dental Insurance Learning and Development budget Monthly socials, both in London and Virtual WeWork perks - barista, social events, snacks etc. Macbook Pro + home working setup About Sprout.ai Sprout.ai was established in London, UK in 2018 with a mission to help people in their time of need when making an insurance claim. Inefficient claims processing for the insurer meant that customer experience was suffering and people were losing faith in their insurance policies. The average insurance customer was having to wait over 25 days to receive an outcome on their claim, often in times of vulnerability. The barriers to rapid claims settlement were clear; understanding of unstructured data, complexity and volume of decision making, legacy systems and processes. Sprout.ai's patented claims automation platform solves these challenges, and has already delivered instant claims settlement on millions of insurance claims around the world. Our proprietary AI products can automate every step of the claims journey: extracting and enhancing relevant claims data, cross-checking this with policies and providing recommendations to conclude a claim in near real-time. Our tools are allowing claims handlers to spend more time with customers, where human touch and empathy can make the most difference to their customers. Leading VCs saw our company vision to 'make every claim better' and have supported our growth journey. This includes our $11M Series A led by Octopus Ventures in 2021 and in total we have raised over $20M.