15 of 15 Sentiment Analysis Jobs in England

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 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯