1 to 25 of 30 Permanent Sentiment Analysis Jobs in the South East

is passionate about learning and applying data science in the fast-paced world of events and hospitality. What You’ll Do Event & Guest Data Analysis Analyse guest behaviour, ticketing trends, attendance, and feedback to extract actionable insights. Support marketing and sales with campaign and engagement performance metrics. Design and … personalised recommendations. Validate AI outputs and help improve algorithms using real-world feedback. Research trends in hospitality AI (e.g., dynamic pricing, sentiment analysis) and test innovative approaches. Data Infrastructure & Governance Ensure accuracy and consistency of data across CRM, ticketing, and event platforms. Assist in standardising and centralising More ❯

is passionate about learning and applying data science in the fast-paced world of events and hospitality. What You’ll Do Event & Guest Data Analysis Analyse guest behaviour, ticketing trends, attendance, and feedback to extract actionable insights. Support marketing and sales with campaign and engagement performance metrics. Design and … personalised recommendations. Validate AI outputs and help improve algorithms using real-world feedback. Research trends in hospitality AI (e.g., dynamic pricing, sentiment analysis) and test innovative approaches. Data Infrastructure & Governance Ensure accuracy and consistency of data across CRM, ticketing, and event platforms. Assist in standardising and centralising 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 ❯

Lead research initiatives in natural language processing, focusing on designing, implementing, and fine-tuning large language models Develop novel approaches to code understanding and analysis using ML/NLP models Create and evaluate representations that combine source code with natural language elements Conduct experiments and literature reviews to enhance … Master's or Ph.D. in Computer Science, Data Science, Statistics, or related field 3-5 years experience in NLP subdomains like sentiment analysis or natural language understanding Proficiency in Python and relevant libraries (TensorFlow, PyTorch, Hugging Face, etc.) Strong understanding of machine learning engineering and software development More ❯

Lead research initiatives in natural language processing, focusing on designing, implementing, and fine-tuning large language models Develop novel approaches to code understanding and analysis using ML/NLP models Create and evaluate representations that combine source code with natural language elements Conduct experiments and literature reviews to enhance … Master's or Ph.D. in Computer Science, Data Science, Statistics, or related field 3-5 years experience in NLP subdomains like sentiment analysis or natural language understanding Proficiency in Python and relevant libraries (TensorFlow, PyTorch, Hugging Face, etc.) Strong understanding of machine learning engineering and software development More ❯

field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent experience, 7+ years of industry experience in predictive modelling, data science and analysis, with prior experience in a ML or data scientist role and a track record of building ML or DL models. Responsibilities and skills: Work … summarisation, attribute extraction, etc. Preferable experience in one or more of the following areas: recommender systems, moderation of user generated content, sentiment analysis, etc. OR Speech recognition, speech to text and vice versa, understanding NLP and IR, text summarisation, statistical and deep learning approaches to text processing. More ❯

field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent experience, 7+ years of industry experience in predictive modelling, data science and analysis, with prior experience in a ML or data scientist role and a track record of building ML or DL models. Responsibilities and skills: Work … summarisation, attribute extraction, etc. Preferable experience in one or more of the following areas: recommender systems, moderation of user generated content, sentiment analysis, etc. OR Speech recognition, speech to text and vice versa, understanding NLP and IR, text summarisation, statistical and deep learning approaches to text processing. 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 ❯

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. This role requires programming and tool configuration skills, well versed with SDLC. Your Key Responsibilities: Assists with 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯