6 of 6 Permanent Sentiment Analysis Jobs

make data collection/cleaning/storage more efficient Build new backend tools to help with data collection on Apple Silicon Can apply ML methods to help with data analysis (regression, sentiment analysis, computer vision, etc) Work cross-functionally and adapt analysis quickly Bonus: if Full stack engineer, a bonus would be building E2E applications … backend and frontend) on iOS devices (using Xcode) The candidate has to be able to work exceptionally well and efficiently in a fast-paced environment and multitask between data analysis requests, tasks and projects.Skills Pro level Python R Track record working with complex datasets + integration across multiple systems Data Viz tools like R Shiny, Tableau Excellent communication skills … Statistical analysis (hypothesis testing, statistical modeling, power analysis ) Git Very well organized Work exceptionally well in a fast-paced environment, and be able to multitask between tasks/projects Equal Opportunity Employer We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance 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 ❯

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 ❯

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 ❯