4 of 4 Remote/Hybrid Data Enrichment Jobs in England

Title: Data Development & Enrichment Lead Location: Peterborough or Manchester (hybrid) About the Role: As a Data Development & Enrichment Lead, you will drive strategic use of enrichment data to support risk & retail pricing, lending decisions and acceptability. Sitting within the Analytics & Enrichment team … support the development, maintenance and optimisation of the businesses data enrichment strategies across our insurance brands. This role blends hands-on analytics with leadership, stakeholder engagement and innovation in insurance enrichment to solve business problems and add commercial value. Key Responsibilities: Identify opportunities for value creation: Proactively ...

will spend a significant part of your day researching businesses, making outbound calls, speaking with key decision-makers and building high-quality prospect data to support our business development activity. Working closely with the Commercial Director, you will play a key role in building, maintaining and improving … database, helping to support business development, lead generation and marketing activity. In addition to researching and maintaining prospect data, you will also be responsible for making outbound calls to businesses to verify information, identify key decision-makers and secure valuable renewal date information. We are looking for someone ...

architect. Skills Required Event‐driven architecture at scale – Kafka, Pub/Sub, SNS/SQS. API‐led design – REST and/or gRPC. Distributed data stores – operational non‐relational stores. Cloud platforms – AWS experience with ideally some GCP, Azure‐only profiles are not suitable. Designing pipelines that feed … models – data flows whose output is model input, not dashboards or reports. ML platform familiarity. Streaming data enrichment – real‐time stream processing for aggregation and enrichment. The contract is inside IR35 for 6 months initially. The role is based on a hybrid working model requiring three days ...

strong hands-on experience building end-to-end Generative AI and RAG applications within enterprise environments. The successful candidate will be responsible for integrating data from multiple systems, extracting and parsing information from documents and images, working with structured databases, storing content within vector databases, building robust retrieval pipelines … ensuring solution quality through evaluation frameworks and ground-truth validation. Key Responsibilities Design and build enterprise GenAI and RAG-based applications using data from multiple systems. Integrate structured and unstructured data sources, including databases, APIs, files and document repositories. Develop pipelines for extracting and parsing data from ...