6 of 6 Permanent Sentiment Analysis Jobs

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 ❯

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 ❯

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 ❯

unsupervised methods Be knowledgeable in and 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 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 ❯