14 of 14 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯