13 of 13 Sentiment Analysis Jobs in the UK

Skills and Experience Required Strong capabilities across a range of AI techniques, including supervised and unsupervised learning, generative AI, deep learning, graph analytics, statistical modelling, time-series forecasting, geospatial analysis, NLP, sentiment analysis, and pattern detection. Excellent communication skills, with the ability to present complex technical concepts clearly and confidently to non-technical audiences, manage stakeholder More ❯

Skills and Experience Required Strong capabilities across a range of AI techniques, including supervised and unsupervised learning, generative AI, deep learning, graph analytics, statistical modelling, time-series forecasting, geospatial analysis, NLP, sentiment analysis, and pattern detection. Excellent communication skills, with the ability to present complex technical concepts clearly and confidently to non-technical audiences, manage stakeholder More ❯

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 ❯

templates using LLM summarization, structured extraction, and embedding-based clustering Craft intelligent prompts: Build and maintain the library of system prompts for ticket summarization, theme extraction, sentiment analysis, and qualitative insights Define reporting standards: Set quality bars for what makes a great dashboard (agent performance, app store trends, CSAT drivers, topic evolution, etc.) Optimize RAG pipelines: Design … reports or products using LLMs—prompt engineering, structured output generation, embeddings, RAG, summarization pipelines Python proficiency: Comfortable with pandas, OpenAI library, API integrations, and data manipulation for prototyping and analysis SQL fluency: Can write complex queries and understand data modeling Analytics tools: Experience with modern analytics platforms (Looker, Tableau, Mode, Metabase, etc.) Unique Strengths Simplification superpower: Exceptional ability to … Startup mindset: Self-starter who moves fast, wears multiple hats, and ships iteratively Bonus Points Experience with text analytics, NLP, or customer experience (CX) analytics Background in time-series analysis, anomaly detection, or forecasting Prior work at analytics agencies or consulting delivering bespoke reporting Exposure to AI infrastructure (vector databases, embeddings, semantic search) Experience at early-stage startups or More ❯

templates using LLM summarization, structured extraction, and embedding-based clustering Craft intelligent prompts: Build and maintain the library of system prompts for ticket summarization, theme extraction, sentiment analysis, and qualitative insights Define reporting standards: Set quality bars for what makes a great dashboard (agent performance, app store trends, CSAT drivers, topic evolution, etc.) Optimize RAG pipelines: Design … reports or products using LLMs—prompt engineering, structured output generation, embeddings, RAG, summarization pipelines Python proficiency: Comfortable with pandas, OpenAI library, API integrations, and data manipulation for prototyping and analysis SQL fluency: Can write complex queries and understand data modeling Analytics tools: Experience with modern analytics platforms (Looker, Tableau, Mode, Metabase, etc.) Unique Strengths Simplification superpower: Exceptional ability to … Startup mindset: Self-starter who moves fast, wears multiple hats, and ships iteratively Bonus Points Experience with text analytics, NLP, or customer experience (CX) analytics Background in time-series analysis, anomaly detection, or forecasting Prior work at analytics agencies or consulting delivering bespoke reporting Exposure to AI infrastructure (vector databases, embeddings, semantic search) Experience at early-stage startups or More ❯

in use across multiple products Developing new models focused on pricing optimisation, lead forecasting, and customer behaviour Contributing to new AI-driven initiatives, including text and sentiment analysis Collaborating closely with Data Engineering and BI to deliver robust, end-to-end ML pipelines and model monitoring Tech Environment: Python (pandas, scikit-learn, modern ML frameworks) SQL for … analysis and model input preparation Cloud environment (AWS/GCP/Azure) Exposure to NLP, MLOps, or CI/CD pipelines is a plus What We’re Looking For: Experienced Senior Data Scientist with a proven applied ML background Confident in owning end-to-end model development and optimisation Naturally collaborative, but comfortable working independently when needed Curious, pragmatic More ❯

optimize key areas: Supply Chain & Logistics: Predictive analytics for demand forecasting, inventory management, and transportation optimization. Customer Engagement & Marketing: Personalized recommendations, AI driven customer insights, agent deployment, and sentiment analysis. Product Development: Advanced data analytics to improve footwear/apparel and innovation. Ensure AI models are explainable, scalable, and integrated with existing workflows. Communicate AI strategies, initiatives, and 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 ❯

analytics, and creative storytelling to help major UK media and entertainment brands make smarter advertising decisions. Their work includes innovative methods like biometrics, emotion tracking, and AI-driven sentiment analysis. Key responsibilities: Lead end-to-end delivery of ad effectiveness and media measurement projects Guide methodology selection ensuring actionable insights Develop and evolve strategic research offerings Drive commercial 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 ❯

surfacing, and context-aware automation. Collaborate with HCLTech Architects to define the chatbot strategy using Copilot Studio. Design AI for Supervisors including real-time dashboards, conversation intelligence, and sentiment analytics. Guide implementation of Intelligent IVR leveraging Azure Communication Services or integrated CCaaS platforms. Platform Integration & Governance Oversee the integration of telephony systems (e.g., Genesys, NICE, Five9, Azure Communication … integrations. Strong command of Copilot Service Workspace configuration and extensibility (e.g., session templates, macros, app profiles). Expertise in AI-powered features: agent assist, conversation intelligence, call transcription, sentiment scoring. Experience with Power Platform, including Power Automate, Power Apps, and Power Virtual Agents. Solid knowledge of Azure components such as Azure Communication Services, Bot Framework, Logic Apps, Cognitive More ❯