14 of 14 Permanent Sentiment Analysis Jobs

human insight. Our global clients rely on us to deliver top-tier datasets for Automatic Speech Recognition (ASR), Text-to-Speech (TTS), Direct Preference Optimisation (DPO), Sentiment Analysis, and more. We’re a trusted data partner for model development, and our projects span multiple languages and cultures. With our cutting-edge work and state-of-the-art … quality assurance and validation of machine-generated transcripts, utilising human-in-the-loop and RLHF processes. Work on training data for developing and current ASR, TTS, sentiment analysis, emotional tone detection, and preference modelling tasks. Collaborate with linguists, engineers, and AI researchers to refine annotation standards. Identify and flag edge cases or quality issues in datasets. Contribute More ❯

and natural language processing techniques to both structured and unstructured data sources. Monitor key CX metrics (NPS, CSAT, conversion rates) to identify emerging trends, opportunities, and risks. Conduct exploratory analysis to uncover customer pain points and behavioural patterns. Translate data into actionable insights that influence decisions across Finance, Operations, Sales, and Marketing. Support the testing, piloting, and scaling of … AI-driven tools like sentiment analysis, predictive models, and smart feedback systems. Make insights accessible to non-technical stakeholders through clear storytelling and impactful data visualisations. Champion best practices in customer insights and contribute to the ongoing development of the global Voice of Customer programme. About You We're looking for someone who brings: A degree More ❯

CONTINGENT UPON AWARD Duties may include but are not limited to: Responsible for developing, analyzing, and maintaining software applications for a Federal Law Enforcement customer. Utilize expertise in data analysis, data query, data aggregation, data visualization, and software development to implement business intelligence and data warehousing solutions that enable cyber professionals to effectively analyze case data and advance investigations. … Proficiency in Power BI, data analysis, data query, data aggregation, data visualization, software development, system architecture, data transformation, data management, and big data technology. Capable of utilizing Extract, Transform, Load (ETL) processes. Experienced in writing complex statements, scripts, stored procedures, triggers, and views implementing business intelligence and data warehousing solutions. Solid foundation in, and application of, data warehousing and … The first aligns teams to focus on enabling operational insight by increasing data discoverability through enterprise search or query. The second aligns teams to focus on enabling the operational analysis and triage of data through visualization, enrichments, and analytics within Global Mission Analytics (GMA). EDUCATION: Bachelor's degree from an accredited college in a related discipline YEARS OF More ❯

clients CX challenges and identify how CCaaS and AI solutions can meet their business goals. Develop and present tailored demonstrations and proof of concepts etc. Create proposal including ROI analysis etc. Technical Expertise: Translate business requirements into technical specifications. Design scalable technical architectures for Contact Centre and AI based customer service. Maintain knowledge of contact centre and AI trends … Experience Bachelors or Masters degree in Computer Science, or a related field. Strong knowledge of AI and machine learning technologies related to customer experience (chatbots, NLP, sentiment analysis, etc.) Experience with Contact Centre/CX platforms and their integration with AI. Knowledge of cloud platforms (AWS, Azure, Google Cloud) and data management systems (CRM, ERP) Min More ❯

the business with key insights on customer behaviour. Analyse customer research data to gain insights on customer behaviour using Natural Language Processing (NLP) techniques such as sentiment analysis and topic modelling. Provide education to both internal and external stakeholders about the modelling process, including the assumptions and methodology used. This will ensure that they fully understand and … the business. Qualifications About you The ideal person will have. Strong experience in building Machine Learning models and applying Data Science techniques using python. Strong data manipulation and statistical analysis experience gained through experience working in various industries. Be able to provide clear and tangible examples of time when your insights and analysis have made an impact on More ❯

the business with key insights on customer behaviour. Analyse customer research data to gain insights on customer behaviour using Natural Language Processing (NLP) techniques such as sentiment analysis and topic modelling. Provide education to both internal and external stakeholders about the modelling process, including the assumptions and methodology used. This will ensure that they fully understand and … the business. Qualifications About you The ideal person will have. Strong experience in building Machine Learning models and applying Data Science techniques using python. Strong data manipulation and statistical analysis experience gained through experience working in various industries. Be able to provide clear and tangible examples of time when your insights and analysis have made an impact on More ❯

in Flask or Django Demonstrated experience with text analytics and its applications/role/use in business intelligence/business analytics (i.e. search, entity extraction, sentiment analysis, document summarization, document categorization) Demonstrated experience researching and implementing machine learning algorithms for use in production systems Demonstrated experience developing proof of concepts of new technologies and evaluating the More ❯

the quality of the data and derive actionable insights and analytics. Broad areas of applications and interest include: information extraction, entity recognition and disambiguation, topic classification, sentiment analysis, text analytics, summarization, event detection, conversation mining, dialogue systems, semantic parsing, question answering or sentence representations. You'll have the opportunity to: Collaborate with colleagues on production systems and More ❯

departments. Ideally you will also have some: Familiarity with Connex, or other call centre/marketing platforms. Understanding of AI and automation in customer service (chatbots, sentiment analysis, etc.). Experience with data analytics, BI tools (e.g., Tableau, Power BI), and performance dashboards. This fantastic new role is to be based in the companys office in Liverpool More ❯

departments. Ideally you will also have some: Familiarity with Connex, or other call centre/marketing platforms. Understanding of AI and automation in customer service (chatbots, sentiment analysis, etc.). Experience with data analytics, BI tools (e.g., Tableau, Power BI), and performance dashboards. This fantastic new role is to be based in the companys office in Liverpool More ❯

or more general purpose programming languages including but not limited to: Python, R, Scala, Spark Experience 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 More ❯

and develop business applications using Power Apps (Canvas and Model-driven), Power Automate, Power BI, and Dataverse. Implement AI Builder models for document processing, prediction, classification, sentiment analysis, and object detection. Utilize Copilot to accelerate app creation, data modeling, and flow development using natural language prompts. Integrate Azure AI Services (OpenAI, Cognitive Services) with Power Platform solutions. More ❯

Monitor online discourse to identify misinformation and distorted narratives beyond basic sentiment analysis. Design, develop, and test an initial prototype of AI and ML predictive engine and computer vision system according to the requirement of the project. Review current workflows in the company and specify the functional requirements to integrate the new system. Investigation and implementation of prototype More ❯

on data automation, dashboards, and analytics pipelines . Responsibilities Monitor, summarise, and analyse media coverage across EMEA, delivering both qualitative and quantitative insights. Apply sentiment and trend analysis to contextualise local and regional media activity. Provide insights into regional news cycles and policy issues to inform strategy. Build scalable data pipelines to ingest, clean, and transform media … KPIs, and prepare visual reports. Collaborate with analytics, data engineering, and communications teams to integrate press and media data with internal datasets. Minimum Qualifications 2+ years’ experience in media analysis, journalism, communications, research, or related fields . Bachelor’s degree in Communications, Journalism, Political Science, Marketing, Economics, Data Science, or similar. Strong English communication skills; ability to draft clear More ❯