16 of 16 Sentiment Analysis Jobs in England

product, tech, and content teams to enhance our data systems, onboard new data sources, and support the development of cutting-edge sentiment analysis tools. This is an exciting opportunity for someone who thrives at the intersection of data integrity, product innovation, and process optimization. Key Responsibilities Data … Work with web scraping tools to ensure coverage of political stakeholder publications. Troubleshoot issues in data pipelines and help scale sourcing infrastructure. Product & Sentiment Development Contribute to the design and rollout of sentiment-based data products. Support sentiment scoring development and ensure consistency across … Excellent collaboration and communication skills. Nice to have: Experience working with large or complex datasets. Familiarity with natural language processing or sentiment analysis tools. Understanding of political landscapes, especially UK or EU public affairs. Exposure to APIs, web scraping, and data integration processes. Why join us? Be More ❯

be working on the user experience for employees. You’ll be responsible for the creation and testing of service design blueprints research, and the analysis of employee needs and sentiment. We are seeking a highly creative and experienced Service Designer to join our dynamic cross-functional team. The ideal … design blueprints and guidelines to ensure consistency across services and to achieve BCG’s strategic goals. Utilize journey mapping, needs and sentiment analysis, quant measurement and other tools, methods, or processes to understand and define end-to-end UX. Align with the CoE Value Measurement framework to … capture and track service quality, efficiency and advocacy. User Research & Analysis: Conduct qualitative and quantitative user research to understand employee needs, behaviors, and pain points. Analyze user feedback and usage data to inform design decisions. Create meaningful and actionable insights into our employees’ behaviors, needs, expectations, and pain points. 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 ❯

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 ❯

problems, learning complex systems, working with numbers, and organizing and communicating data and reports. In the compatibility program, the Research Analyst performs Big data analysis to identify patterns, train models to generate product-to-product relationships and product-to-brand & model relationships. The Research Analyst also continuously improves the … requirements as well as write and review business cases. Key job responsibilities Scoping, driving, and delivering complex projects across multiple teams. Performing root cause analysis by understanding the data needs, pulling the data, and analyzing it to form and validate hypotheses using data. Conducting a thorough analysis of … executing pilots and building deterministic and ML models (plug and play on ready-made ML models and Python skills). Performing supporting research, conducting analysis of larger parts of the projects, and effectively interpreting reports to identify opportunities, optimize processes, and implement changes within their part of the project. 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 ❯

an individual contributor and has a voice to produce ideas and ways of success. In this role, you will be responsible for data collection, analysis and interpretation of a vast and rich data lake of consumer behavioural data to provide actionable insights and recommendations regarding marketing campaigns, sales opportunities … 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 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 ❯

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 … 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 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 ❯

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 ❯

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 ❯

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 ❯

quality data across systems, regularly performing cleaning and validation using tools such as Power BI. Lead the redevelopment of post-event sentiment analysis, working with senior stakeholders to define meaningful KPIs and develop impactful insights. Prepare reports and presentations, including detailed evaluation packs and high-level summaries More ❯

Airtime’s AI/ML strategy Design, build, and optimise NLP models for applications such as natural language search and analytics, chatbots, and sentiment analysis. Develop and integrate personalisation algorithms for tailored product and service recommendations and predictive analytics, across all customer touch points. Implement MLOps best-practice … Expertise in personalisation techniques (recommendation systems, user segmentation, dynamic pricing) Experience working with sensitive and business critical data, able to perform behavioural and transactional analysis, and work with propensity models Hands-on experience deploying models in cloud environments (AWS & GCP) Strong understanding of MLOps (model monitoring, CI/CD More ❯