12 of 12 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 ...

Data Engineer - Data Catalogue Migration Contract £400 - £525 per day insideIR35 Hybrid (Corsham 1-2 days per week) 3-Month Rolling Contract A leading organisation delivering a major data transformation programme is seeking an experienced Data Engineer to support the migration of enterprise data catalogue … capabilities as part of a large-scale digital and data modernisation initiative. This is an exciting opportunity to play a key role in assessing, transforming and migrating metadata into a modern data catalogue environment, helping to improve data governance, accessibility and operational efficiency across a complex enterprise ...

ready. Collaborate with operations teams to optimise case management, review workflows, and tooling. Delivery & Execution Translate regulatory requirements into clear product requirements. Partner with Data teams on risk scoring methodologies, data enrichment strategies, and monitoring of customer risk over time. Work closely with Engineering on customer data … business verification, corporate structures, and jurisdictional regulatory requirements. Experience designing or working with risk scoring systems, workflow/case management tools, data enrichment, and third‐party integrations. Analytical thinking and proficiency with system design discussions. Demonstrated ability to influence across functions and geographies to drive alignment and execution. ...

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 ...

Exposure Data Analyst/Quantitative Exposure Analyst London 80,000 - 90,000 + Benefits Are you a data-driven insurance professional with strong Python and SQL skills looking to work at the forefront of exposure analytics, catastrophe risk, and process automation? I'm working with a highly regarded … London Market insurer seeking an experienced Exposure Data Analyst/Quantitative Exposure Analyst to join a growing Exposure Management function. This is an excellent opportunity to combine technical expertise, data engineering, analytics and catastrophe risk management within a business where exposure analytics plays a central role in strategic ...

business in areas such as tagging, tracking, and content tech including production, storage, and distribution. You’ll have experience with industry‐leading tools supporting data enrichment, dynamic content development, channel activation, and insights & analytics. As part of a wider digital marketing team with access to support from inside … delivering relevant and personalised messaging to our customers. Support the delivery of end-to-end Digital Marketing capability with robust, performant platform and data integrations. Develop functional capabilities by maximising usage of features within existing tools, and delivering Buy Build Partner assessments in collaboration with Product and Engineering stakeholders ...

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 ...

multiple priorities, taking ownership of key responsibilities, and playing an important role in the day-to-day running of the business. Key Responsibilities CRM & Data Management Maintain, cleanse, and ensure the accuracy of the CRM database. Assess, qualify, and add new leads, creating relevant tasks and workflows. Identify opportunities … improve CRM processes. Perform data enrichment to improve the quality and completeness of records. Produce regular CRM reports and management information. Manage bulk data imports and exports. Track and report on sales and business development activity through the CRM. Analyse and monitor call activity data. Respond ...

train, post-train, and evaluate the LLMs at the core of our platform. This is hands-on modern model training work: large-scale data pipelines, SFT/RLHF/DPO-style alignment, reward models, distributed multi-GPU training, and evaluation. About us White Circle is an AI Safety company … preprocessing/normalization, embeddings at scale, indexing, and retrieval to make the corpus searchable and analyzable. Use LLMs pragmatically: labeling/classification, weak supervision, data enrichment, summarization, and automated diagnostics of inbound volumes (with cost/quality controls). Deliver insights that change decisions: translate findings into product ...

into actions, and uphold trust through integrity. Skills and Competencies Experience in a client-facing, pre-sales, or consulting role within the information services, data analytics, or enterprise software industries, ideally supporting financial institutions or lending-focused use cases Past experience with lending, credit risk, or financial workflows such … loan origination, underwriting, portfolio monitoring, or exposure management is highly desirable, alongside exposure to data enrichment and decisioning tools Proven ability to analyse business processes and workflows, particularly within lending operations (e.g. origination, underwriting, credit assessment), with a strong capability to identify inefficiencies and recommend data-driven ...

will help drive the AI and automation strategy across the marketing department - spanning prompt engineering, AI tooling governance, automation workflows, and scaled content and data operations. Working closely with the Head of Marketing Operations and wider growth leadership, you will drive operational efficiency, accelerate delivery speed, and identify high … dynamic sequencing, offer selection, message optimisation and next-best-action modelling. • You will build and maintain the customer profile schema, working across audience segmentation, data enrichment, intent signals, behaviour signals and revenue signals. • You will orchestrate journeys across email, SMS, paid media, website personalisation, sales enablement triggers ...

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 ...