7 of 7 Permanent Sentiment Analysis Jobs

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 … 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 ...

systems, CTI, and contact center platforms. Proven experience designing and deploying AI-driven customer support solutions (e.g., chatbots, voicebots, agent assist, sentiment analysis). Strong knowledge of cloud-native architectures (AWS, Azure, GCP) and microservices. Familiarity with real-time data processing, event-driven systems, and API-first ...

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 ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

able to apply ML/DL algorithms and technologies to NLP tasks such as Named Entity Recognition, POS tagging, Parsing, Sentiment Analysis, Clustering, text prediction etc. Develop an understanding of the technologies, methods and the architecture within Docusign product development. Also an understanding of the entire software ...

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 ...

Job Title: Europe PR Manager Location: Amsterdam About Plaud Inc. Plaud is building the world's most trusted AI work companion for professionals to elevate productivity and performance through note-taking solutions, loved by over ...