15 of 15 Permanent Sentiment Analysis Jobs

and models, measure performance and maintain models. Consumer Interaction AI Development: Create and refine AI solutions that enhance customer engagement, such as chatbots, personalized recommendations, and sentiment analysis tools. Data Analysis and Preprocessing: Extract, clean, and preprocess large datasets for model training and evaluation, ensuring data quality and integrity. Collaborate and Communicate: Work closely with product More ❯

recommendations, and ensuring data science practices align with organisational goals. Key Responsibilities Customer Insights: Build churn prediction models, apply clustering and segmentation, and use NLP for sentiment analysis to improve service quality and retention strategies. Operational Performance: Develop forecasting models for network demand, implement anomaly detection for outages and latency, and create predictive maintenance solutions to reduce … downtime. Efficiency & Planning: Optimise field operations through predictive scheduling and route planning, support inventory forecasting, and identify fraudulent or abusive usage patterns using ML techniques. Financial & Strategic Analysis: Deliver cost-to-serve models, profitability analysis, and scenario modelling to guide investment and regulatory decisions. Geospatial Analytics: Apply spatial modelling and visualisation techniques to support network planning, operational assessments More ❯

in a research, data, or insights role within an agency, consultancy, or brand-side environment Proven experience in designing, managing, and delivering end-to-end research projects, including scoping, analysis, and client presentation Strong understanding of digital marketing performance data, particularly in Paid Search and Paid Social, and how it can be integrated into audience and market insights Demonstrable … to juggle multiple deadlines. Desirable Skills & Experience Experience building or maintaining dashboards in Looker Studio or equivalent tools Familiarity with Google Cloud Platform and BigQuery for data extraction and analysis Knowledge of NLP techniques for clustering and sentiment analysis Experience leading or mentoring junior analysts. Technology Proficiencies Microsoft Excel/Google Sheets Looker Studio (or equivalent More ❯

Implement intelligent agent assist features, including auto-suggestions, case summarization, knowledge article recommendations, and next-best-action insights. Integrate Salesforce Einstein capabilities, such as Case Classification, Sentiment Analysis, and Intent Detection into customer support workflows. Work with Einstein Bots and Copilot Studio to design and deploy virtual agents for automated customer interactions and triaging. Collaborate with support … Salesforce AI Associate or Einstein GPT Specialist (a plus) Preferred Qualifications Experience working with Einstein Copilot Studio, Prompt Builder, and Model Builder tools. Background in AI/ML, data analysis, or chatbot development. Knowledge of MuleSoft, Heroku, or middleware platforms for integration. The pay range is listed and actual compensation packages are based on a wide array of factors More ❯

a detail-oriented approach to software development. Key Learning Opportunities: Gain hands-on experience in designing and implementing NLP models for tasks such as text classification, sentiment analysis, and named entity recognition. Learn and apply Retrieval-Augmented Generation (RAG) frameworks integrated with vector-based solutions to enhance system performance. Build and maintain scalable APIs (e.g., using FastAPI More ❯

Key Outcomes: Retain your customers, 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: Lead as a vocal customer More ❯

use those insights to design more human, effective, and intelligent experiences. What you'll do: Interrogate and Analyse AI and contact centre data - explore transcripts, intents, summaries, and sentiment to uncover patterns in customer and advisor behaviour. Assess AI performance - review generative AI outputs, identifying issues around accuracy, tone, or bias, and recommend improvements into design, training, and … Visualise findings - create dashboards, heatmaps, and narrative reports that make insight easy to understand and act on and drive design direction. What you'll bring: Proven experience in " data analysis, customer research, or AI model evaluation "ideally within customer service, operations, or CX. Familiarity with " contact centre datasets "(transcripts, call categorisation, voice analytics, sentiment analysis etc. More ❯

of novel NLP algorithms and models, pushing the boundaries of artificial intelligence. Design and implement advanced deep learning architectures for tasks such as text generation, summarization, sentiment analysis, and machine translation. Conduct cutting-edge research in areas like transformer models, large language models (LLMs), and explainable AI (XAI) for NLP. Collaborate with a global team of researchers More ❯

compliance. Qualifications: Bachelor's Degree 5+ years of experience in AI/ML development and deployment. Proven experience with NLP techniques, including text classification, named entity recognition, and sentiment analysis. Experience developing and deploying machine learning models for classification, regression, and anomaly detection. Strong programming skills in Python and experience with AI/ML libraries such as TensorFlow More ❯

a software company based near Brighton. We design, develop and distribute our own products, including a Unified Communications App and AI-powered tools for call transcription, sentiment analysis and meeting summaries. We also build and support bespoke software applications for selected customers. Our team combines deep technical expertise with a passion for building scalable, cloud-deployed products More ❯

differentiated messaging that communicates how helps merchants build trust and grow through AI-powered review and customer insight tools. Translate new features and AI capabilities — from sentiment analysis to review response automation — into compelling value propositions for merchants and partners. Go-to-Market & Launch Execution Plan and execute GTM strategies for new features, integrations, and AI updates. … Partner with Product, Sales, and Growth teams to build unified launch plans that drive adoption and measurable impact. Customer & Market Insight: Conduct competitive analysis and customer research to uncover opportunities in the evolving eCommerce and AI landscape. Use insights to shape messaging frameworks, campaign strategy, and product feedback loops. Sales Enablement & Education: Create impactful content — sales decks, one-pagers More ❯

a pragmatic way Experience with analytical and quantitative problem solving using advanced statistical techniques, ML and generative AI methods for online content, e.g. sentiment from text, sequence analysis, forecasting and trend analysis Experience in building and deploying reproducible, production ready AI/ML models at scale, coupled with solid data engineering skills Prior knowledge of NLP More ❯

the current rule based, supervised and unsupervised methods Apply ML/DL algorithms and technologies to NLP tasks such as Named Entity Recognition, POS tagging, Parsing, Sentiment Analysis, Clustering, text prediction etc. Develop a comprehension of the technologies, methods and the architecture within Docusign product development. Also an understanding of the entire software development end to end More ❯

a pragmatic way Experience with analytical and quantitative problem solving using advanced statistical techniques, ML and generative AI methods for online content, e.g. sentiment from text, sequence analysis, forecasting and trend analysis Experience in building and deploying reproducible, production-ready AI/ML models at scale, coupled with solid data engineering skills Prior knowledge of NLP More ❯

experience dealing with large datasets. Strong coding skills in Python or other object-oriented programming languages. Graduate-level knowledge of statistics, including but not limited to hypothesis testing, regression analysis, and probability. Excellent work ethic and the ability to thrive in a fast-paced startup environment. Strong problem-solving skills and attention to detail. Good communication skills, with the … working in a high output team. What You'll Be Doing. Developing, fine-tuning, and deploying LLMs for various NLP tasks such as text generation, summarization, translation, and sentiment analysis. Designing and implementing pipelines for processing and analyzing large datasets. Analyzing and interpreting complex time series data to provide actionable insights and solutions. Designing, implementing, and maintaining data More ❯