17 of 17 Sentiment Analysis Jobs in London

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 ❯

approximate nearest neighbors search Experience with any of the following NLP tasks - named entity recognition, intelligent document processing, website parsing & classification, sentiment analysis, information retrieval, entity matching & linking, spelling correction Strong knowledge of Mathematical Statistics, Algorithms & Data Structures, ML Theory Strong knowledge of Python & SQL Experience training More ❯

approximate nearest neighbors search Experience with any of the following NLP tasks - named entity recognition, intelligent document processing, website parsing & classification, sentiment analysis, information retrieval, entity matching & linking, spelling correction Strong knowledge of Mathematical Statistics, Algorithms & Data Structures, ML Theory Strong knowledge of Python & SQL Experience training 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯