18 of 18 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 ❯

relevance to the customers. THE ROLE Customer Science Develop and implement predictive models to understand drivers of customer behaviour, including purchase patterns, customer lifetime events and sentiment analysis Create sophisticated customer segmentation using behavioural, transactional, and demographic data Design and build predictive models to enhance personalized customer experiences across all channels Collaborate on design of test & learn More ❯

Guide intent identification and the associated phrases, entities, contexts, and business rules that define distinct conversational experiences. Apply concepts and practices related to NLP/NLU, sentiment analysis, Intent classification, dialog flows, text-to-speech, and speech-to-text to the conversational design process. Understand how data from API calls, databases, and other underlying technologies fit into 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 ❯

ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing and deploying production-ready … an expectation that required degree will be obtained on or before the scheduled start date At least 1 years' experience in open source programming languages for large scale data analysis At least 1 years' experience with machine learning At least 1 years' experience with relational databases Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics … field (Science, Technology, Engineering, or Mathematics) At least 1 year of experience working with AWS At least 3 years' experience in Python, Scala, or R for large scale data analysis At least 3 years' experience with machine learning At least 3 years' experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this 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 ❯

ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources More ❯

one or more general purpose programming languages including but not limited to: Python, R, Scala, SparkExperience with one or more of the following: Natural Language Processing, sentiment analysis, classification, pattern recognition.Development experience with AI frameworks such as TensorFlow, Microsoft CNTK, scikit, Keras, Caffe, Gluon, Torch.Familiarity with GenAI technology stack, including frameworks for prompt engineering, guardrails for GenAI 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 ❯

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 ❯

linguistics and human language technologies. - Leverage text processing large collections with standard NLP tools for parsing, entity extraction, POS tagging, topic discovery and classification (such as sentiment analysis). - Apply image object detection techniques, as needed, to identify items of interest in pictures. - Perform tasks related to image generation and computer vision, leveraging techniques such as generative 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 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 ❯

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 ❯