8 of 8 Permanent Sentiment Analysis Jobs in the UK

recommendations, and ensuring data science practices align with organisational goals. Key Responsibilities Customer Insights: Build churn prediction models, apply clustering and segmentation, and use NLP for sentiment analysis to improve service quality and retention strategies. Operational Performance: Develop forecasting models for network demand, implement anomaly detection for outages and latency, and create predictive maintenance solutions to reduce … downtime. Efficiency & Planning: Optimise field operations through predictive scheduling and route planning, support inventory forecasting, and identify fraudulent or abusive usage patterns using ML techniques. Financial & Strategic Analysis: Deliver cost-to-serve models, profitability analysis, and scenario modelling to guide investment and regulatory decisions. Geospatial Analytics: Apply spatial modelling and visualisation techniques to support network planning, operational assessments More ❯

in a research, data, or insights role within an agency, consultancy, or brand-side environment Proven experience in designing, managing, and delivering end-to-end research projects, including scoping, analysis, and client presentation Strong understanding of digital marketing performance data, particularly in Paid Search and Paid Social, and how it can be integrated into audience and market insights Demonstrable … to juggle multiple deadlines. Desirable Skills & Experience Experience building or maintaining dashboards in Looker Studio or equivalent tools Familiarity with Google Cloud Platform and BigQuery for data extraction and analysis Knowledge of NLP techniques for clustering and sentiment analysis Experience leading or mentoring junior analysts. Technology Proficiencies Microsoft Excel/Google Sheets Looker Studio (or equivalent More ❯

use those insights to design more human, effective, and intelligent experiences. What you'll do: Interrogate and Analyse AI and contact centre data - explore transcripts, intents, summaries, and sentiment to uncover patterns in customer and advisor behaviour. Assess AI performance - review generative AI outputs, identifying issues around accuracy, tone, or bias, and recommend improvements into design, training, and … Visualise findings - create dashboards, heatmaps, and narrative reports that make insight easy to understand and act on and drive design direction. What you'll bring: Proven experience in " data analysis, customer research, or AI model evaluation "ideally within customer service, operations, or CX. Familiarity with " contact centre datasets "(transcripts, call categorisation, voice analytics, sentiment analysis etc. More ❯

of novel NLP algorithms and models, pushing the boundaries of artificial intelligence. Design and implement advanced deep learning architectures for tasks such as text generation, summarization, sentiment analysis, and machine translation. Conduct cutting-edge research in areas like transformer models, large language models (LLMs), and explainable AI (XAI) for NLP. Collaborate with a global team of researchers More ❯

a software company based near Brighton. We design, develop and distribute our own products, including a Unified Communications App and AI-powered tools for call transcription, sentiment analysis and meeting summaries. We also build and support bespoke software applications for selected customers. Our team combines deep technical expertise with a passion for building scalable, cloud-deployed products More ❯

differentiated messaging that communicates how helps merchants build trust and grow through AI-powered review and customer insight tools. Translate new features and AI capabilities — from sentiment analysis to review response automation — into compelling value propositions for merchants and partners. Go-to-Market & Launch Execution Plan and execute GTM strategies for new features, integrations, and AI updates. … Partner with Product, Sales, and Growth teams to build unified launch plans that drive adoption and measurable impact. Customer & Market Insight: Conduct competitive analysis and customer research to uncover opportunities in the evolving eCommerce and AI landscape. Use insights to shape messaging frameworks, campaign strategy, and product feedback loops. Sales Enablement & Education: Create impactful content — sales decks, one-pagers More ❯

a pragmatic way Experience with analytical and quantitative problem solving using advanced statistical techniques, ML and generative AI methods for online content, e.g. sentiment from text, sequence analysis, forecasting and trend analysis Experience in building and deploying reproducible, production ready AI/ML models at scale, coupled with solid data engineering skills Prior knowledge of NLP More ❯

a pragmatic way Experience with analytical and quantitative problem solving using advanced statistical techniques, ML and generative AI methods for online content, e.g. sentiment from text, sequence analysis, forecasting and trend analysis Experience in building and deploying reproducible, production-ready AI/ML models at scale, coupled with solid data engineering skills Prior knowledge of NLP More ❯