21 of 21 Permanent Sentiment Analysis Jobs in the UK

and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work to clients, disseminating More ❯

experienced in all of the areas outlined below. Qualifications: AI techniques (e.g. supervised and unsupervised machine learning techniques, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection). Proficiency in Python, R, or Spark to extract insights from data. Experience More ❯

and after Championships by providing data-driven insights and actionable intelligence to maximise the reach, engagement, and conversion of marketing activities. Examples include: Audience Analysis and Segmentation – demographic, behavioural, and psychographic insights Campaign Performance Analysis – Metrics and KPIs, ROI analysis, and optimization recommendations Product engagement – Google Analytics … etc. Fan Engagement Strategies – Content preferences, engagement channels, personalization Social Media Analytics – sentiment analysis, influencer insights Help deliver personalized qualitative and quantitative insights within various markets in collaboration with Unions and Federations, including: Brand tracking & insight for sponsors Fan experience & sponsor perception surveys Sponsor social & campaign tracking … Rugby team, sponsors, broadcasters, and Unions. The candidate we are looking for can demonstrate: · A curious mind and a can-do attitude · Strong data analysis and visualisation skills (Office 365 Suite incl. Excel, PPT and Power BI preferable) · Familiarity with social listening tools and marketing tools (preferable) · Excellent communication More ❯

and after Championships by providing data-driven insights and actionable intelligence to maximise the reach, engagement, and conversion of marketing activities. Examples include: Audience Analysis and Segmentation – demographic, behavioural, and psychographic insights Campaign Performance Analysis – Metrics and KPIs, ROI analysis, and optimization recommendations Product engagement – Google Analytics … etc. Fan Engagement Strategies – Content preferences, engagement channels, personalization Social Media Analytics – sentiment analysis, influencer insights Help deliver personalized qualitative and quantitative insights within various markets in collaboration with Unions and Federations, including: Brand tracking & insight for sponsors Fan experience & sponsor perception surveys Sponsor social & campaign tracking … Rugby team, sponsors, broadcasters, and Unions. The candidate we are looking for can demonstrate: · A curious mind and a can-do attitude · Strong data analysis and visualisation skills (Office 365 Suite incl. Excel, PPT and Power BI preferable) · Familiarity with social listening tools and marketing tools (preferable) · Excellent communication More ❯

and using GenAI. Proactively develop an understanding of key business problems and processes. Execute tasks throughout the model development process, including data wrangling/analysis, model training, testing, and selection. Generate structured and meaningful insights from data analysis and modelling exercises, and present them in an appropriate format … according to the audience. Collaborate with other data scientists and machine learning engineers to deploy machine learning solutions. Conduct ad-hoc and periodic analysis as required by business stakeholders, the model risk function, and other groups. Required qualifications, capabilities, and skills Proven experience post-advanced degree (MS, PhD) in … such as NumPy, pandas, and scikit-learn, as well as R. Understanding and usage of the OpenAI API. NLP: tokenization, embeddings, sentiment analysis, basic transformers for text-heavy datasets. Experience with LLM & Prompt Engineering, including tools like LangChain, LangGraph, and Retrieval-Augmented Generation (RAG). Experience in More ❯

DSU is active in all types of data science applications in policymaking. See Examples include record linkage, building classifiers, semantic and sentiment analysis, web scraping and dynamic visualisations. Additionally, the team is looking forward to expanding its portfolio of techniques using real-time indicators, causal AI and … The ideal candidate will have: Experience: At least 3 years, ideally 5, in a consulting or research environment in data science applied to policy analysis, including experience managing small data science teams and contributing to the design and writing of data science components in project proposals. Academic background: A More ❯

to build extensible systems that provide compounding value over time. You'll: Build the initial sentiment and topic classification models for review analysis Develop merchant benchmarking methodology across various industry categories Create data pipelines that integrate with our existing systems Implement efficient ETL processes to ensure data … data science roles Strong programming skills in Python and SQL Experience building NLP/ML models, particularly for text classification or sentiment analysis Background in developing data pipelines and ETL processes Proven ability to translate complex data models into business insights Experience working with large datasets (preferably … to collaborate with product and design teams Nice-to-Haves Experience with e-commerce platforms, especially Shopify Background in trust metrics or customer experience analysis Knowledge of dashboard design and data visualization best practices Experience with cloud-based data infrastructure (AWS) Familiarity with modern data stack tools (Airflow, dbt More ❯

ability to effectively collaborate with cross-functional teams Strong problem-solving and decision-making abilities Knowledge of agile project management methodologies Experience with data analysis and reporting Ability to adapt to changing priorities and work well under pressure Project management certification (e.g., PMP) is a plus Bachelor's degree … Chatbots and Virtual Assistants: Deploy AI-driven chatbots to handle routine inquiries, provide 24/7 support, and reduce wait times. Sentiment Analysis: Use AI to analyze customer feedback and sentiment from various channels to improve services. 2. Fraud Detection and Prevention Real-Time Monitoring More ❯

knowledge of one or more of the following fields: Entity Recognition and Disambiguation Concept/Topic Extraction Document Summarization Trend Detection Sentiment Analysis Substantial programming experience (preferably in a commercial environment); Clojure or similar languages (e.g., Java or Python); Software collaboration and revision control (e.g., Git or More ❯

secure their renewal and hit retention targets Amplify Customer Loyalty : Champion customer retention, ensuring seamless renewals and surpassing retention targets. Master Sentiment Analysis : Identify and neutralise potential sentiment risks across diverse stakeholders, from end users to top decision-makers, fostering enduring relationships. Empower Customer Advocacy More ❯

voice, and other channels. Apply natural language processing (NLP) and natural language understanding (NLU) techniques such as intent recognition, entity extraction, sentiment analysis, and named entity recognition to inform conversation logic. Design effective, brand-aligned prompts and interactions for large language models (LLMs), including GPT-based systems. More ❯

Gather data from diverse media platforms using data scraping tools, APIs, and monitoring services. Provide data-driven recommendations to improve campaign performance based on analysis of key metrics. Creating propositions for clients and storytelling - really bringing the numbers to life in an engaging and informative manner. Clean and structure … patterns and emerging trends within media data to understand audience behaviour and market dynamics. Track key metrics like impressions, reach, engagement, sentiment analysis, and cost-per-click across different media channels. Analyse data to identify different audience segments and their media consumption habits. Monitor competitor media coverage … data visualizations (graphs, charts) to communicate insights to stakeholders. The ideal candidate . Experience working with consumer focused data and audiences. Proficiency in data analysis tools and techniques (e.g., SQL, Python, R, Tableau). Previous experience in data storytelling, data translation and delivering insights to a variety of audiences. More ❯

data science roles Strong programming skills in Python and SQL Experience building NLP/ML models, particularly for text classification or sentiment analysis Background in developing data pipelines and ETL processes Proven ability to translate complex data models into business insights Experience working with large datasets (preferably More ❯

of our client-facing teams to successfully translate and deliver our offering to clients will be key to success in this role. Post Campaign Analysis; Accountable for the overall quality and output of all post campaign analysis delivered by client service and measurement teams through appropriate tools, processes … Party Measurement Partners: Owning and managing our relationships with key vendors who provide measurement solutions for our clients across brand lift, sentiment analysis and other bespoke solutions to ensure our measurement offering remains market leading. Insight curation and delivery: Owning the development and delivery of bespoke insights More ❯

voice, and other channels. Apply natural language processing (NLP) and natural language understanding (NLU) techniques such as intent recognition, entity extraction, sentiment analysis, and named entity recognition to inform conversation logic. Design effective, brand-aligned prompts and interactions for large language models (LLMs), including GPT-based systems. More ❯

into Dynamics 365 to streamline workflows. Enhance CI/CD pipelines and support continuous integration and deployment. Leverage AI tools for sentiment analysis, call transcriptions, and customer data insights. Collaborate with cross-functional teams to digitize processes, including customer onboarding and third-party integrations. Mentor colleagues and More ❯

into Dynamics 365 to streamline workflows. Enhance CI/CD pipelines and support continuous integration and deployment. Leverage AI tools for sentiment analysis, call transcriptions, and customer data insights. Collaborate with cross-functional teams to digitize processes, including customer onboarding and third-party integrations. Mentor colleagues and More ❯

processing, IVR/IVA, Workflow management, native RPA connector/copilot for core Generative AI features like Content Creation, Summarisation, Classification, Sentiment Analysis, Code Generation with internal/external LLMs. Your Key Responsibilities: You'll assist with development workstream, including building and testing automations. You'll be More ❯

processing, IVR/IVA, Workflow management, native RPA connector/copilot for core Generative AI features like Content Creation, Summarisation, Classification, Sentiment Analysis, Code Generation with internal/external LLMs. Your Key Responsibilities: You'll assist with development workstream, including building and testing automations. You'll be More ❯

processing, IVR/IVA, Workflow management, native RPA connector/copilot for core Generative AI features like Content Creation, Summarisation, Classification, Sentiment Analysis, Code Generation with internal/external LLMs. This role requires programming and tool configuration skills, well versed with SDLC. Your Key Responsibilities: Assists with More ❯

team. The ideal candidate will have a passion for designing intuitive and engaging user experience for digital products and services. Key Responsibilities User Research & Analysis: Conduct qualitative and quantitative user research to understand user needs, behaviors, and pain points. Develop insights that inform and evaluate design recommendations, ensuring they … ll Bring Experience: Minimum of 7 years of commercial experience in Research & Design preferably in a large, global enterprise. Proven experience in research and analysis to create actionable insights. Expertise in user research methodologies, data-informed design, and customer experience strategy. Practical knowledge of iterative design methods and processes … and evaluative research, including surveys, interviews and usability testing using tools such as Dovetail, Maze and Expertise in user journey mapping, needs and sentiment analysis. Proficiency in design and prototyping tools such as Figma and Adobe Suite. Strong understanding of user-centered design principles and methodologies. Strong communication More ❯