5 of 5 Remote Sentiment Analysis Jobs in the UK

and natural language processing techniques to both structured and unstructured data sources. Monitor key CX metrics (NPS, CSAT, conversion rates) to identify emerging trends, opportunities, and risks. Conduct exploratory analysis to uncover customer pain points and behavioural patterns. Translate data into actionable insights that influence decisions across Finance, Operations, Sales, and Marketing. Support the testing, piloting, and scaling of … AI-driven tools like sentiment analysis, predictive models, and smart feedback systems. Make insights accessible to non-technical stakeholders through clear storytelling and impactful data visualisations. Champion best practices in customer insights and contribute to the ongoing development of the global Voice of Customer programme. About You We're looking for someone who brings: A degree More ❯

clients CX challenges and identify how CCaaS and AI solutions can meet their business goals. Develop and present tailored demonstrations and proof of concepts etc. Create proposal including ROI analysis etc. Technical Expertise: Translate business requirements into technical specifications. Design scalable technical architectures for Contact Centre and AI based customer service. Maintain knowledge of contact centre and AI trends … Experience Bachelors or Masters degree in Computer Science, or a related field. Strong knowledge of AI and machine learning technologies related to customer experience (chatbots, NLP, sentiment analysis, etc.) Experience with Contact Centre/CX platforms and their integration with AI. Knowledge of cloud platforms (AWS, Azure, Google Cloud) and data management systems (CRM, ERP) Min More ❯

the business with key insights on customer behaviour. Analyse customer research data to gain insights on customer behaviour using Natural Language Processing (NLP) techniques such as sentiment analysis and topic modelling. Provide education to both internal and external stakeholders about the modelling process, including the assumptions and methodology used. This will ensure that they fully understand and … the business. Qualifications About you The ideal person will have. Strong experience in building Machine Learning models and applying Data Science techniques using python. Strong data manipulation and statistical analysis experience gained through experience working in various industries. Be able to provide clear and tangible examples of time when your insights and analysis have made an impact on More ❯

the business with key insights on customer behaviour. Analyse customer research data to gain insights on customer behaviour using Natural Language Processing (NLP) techniques such as sentiment analysis and topic modelling. Provide education to both internal and external stakeholders about the modelling process, including the assumptions and methodology used. This will ensure that they fully understand and … the business. Qualifications About you The ideal person will have. Strong experience in building Machine Learning models and applying Data Science techniques using python. Strong data manipulation and statistical analysis experience gained through experience working in various industries. Be able to provide clear and tangible examples of time when your insights and analysis have made an impact on More ❯

at improving customer journeys. Create a sustainable model to share insights on diverse customer groups, engaging stakeholders across Customer Excellence, Connections, and Field Operations. Conduct stakeholder sentiment analysis related to customer journey enhancements. Represent the organisation externally in discussions that generate customer insights, relaying findings back into the business. analyse employee and operational data to identify satisfaction … drivers and root causes of dissatisfaction. Monitor and interpret various customer feedback to inform operational teams and contribute to the Customer Strategy. Conduct trend analysis on customer queries and complaints to provide actionable insights. Communicate key customer insights to relevant teams, identifying opportunities for process improvements. Address data challenges by collaborating with the IT&D team to ensure accurate … insights. optimise customer feedback survey design for maximum engagement and actionable insights. Knowledge, Experience, and Skills Required: Proven analytical capabilities with a strong background in statistical modelling and stakeholder analysis, preferably in marketing or sales. Proficient in programming languages such as Python or SQL and experienced with CRM systems and Excel. Familiarity with data visualisation tools like QuickSight or More ❯