26 to 30 of 30 Prescriptive Analytics Jobs in London

work that transforms customer experience. Our goal is to drive innovation and guide our clients’ digital supply chain transformation journeys, leveraging innovative technology i.e., AI/ML, predictive and prescriptive analytics to enable decision automation and increased operational efficiency. We are a global team and operating from various locations in Europe, North America, and India. We focus on More ❯

Job Description The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions … the-art machine learning models to solve real-world problems and apply it to tasks such as time-series analysis and modelling, constrained optimization and prediction for large systems, prescriptive analytics, and decision-making in dynamical systems. Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into More ❯

leader in pricing sophistication, telematics, and, more recently, device and identity protection. Your role in the team Founded by The Allstate Corporation in 2016, Arity is a data and analytics company focused on improving transportation. We collect and analyze enormous amounts of data, using predictive analytics to build solutions with a single goal in mind: to make transportation … Big Data solutions enabling advanced data science and analytics. This includes working with the team on new Big Data systems for analyzing data; the coding and development of advanced analytics solutions to make/optimize business decisions and processes; integrating new tools to improve descriptive, predictive, and prescriptive analytics. This role contributes to the structured and unstructured Big … Data/Data Science tools of Arity from traditional to emerging analytics technologies and methods. The role is responsible for assisting in the selection and development of other team members Key Responsibilities Participate in the development of moderately complex and occasionally complex technical solutions using Big Data techniques in data & analytics processes Develops innovative solutions within the team More ❯

Applied AI ML Senior Associate - Machine Learning Center of Excellence - Time Series Reinforcement Learning Job Description The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights … s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. Job Description The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's … the art machine learning models to solve real-world problems and apply it to tasks such as time-series analysis and modelling, constrained optimization and prediction for large systems, prescriptive analytics, and decision-making in dynamical systems Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into More ❯

QA), and delivery, utilizing a hybrid build model with a trusted technology partner. The platform will enhance member identification, patient outreach and engagement, care coordination workflows, and reporting and analytics for patients with complex medical needs within the client's ecosystem. The project has an ambitious Minimum Viable Product (MVP) timeline of approximately 5-6 months, with a focus … files (for medication data). AI/ML Integration: Work closely with Careology's existing Product team to integrate AI/ML capabilities for enhanced risk stratification, predictive and prescriptive analytics, next-best-action guidance for navigators, call preparation, transcription, and conversational interfaces (e.g., Ask Careology for FAQs and research support). Required Skills and Experience Proven experience More ❯