6 Sentiment Analysis Jobs

Al algorithms • Tests the solutions and applies refinements • Collaborates with members of data teams to support investigation across a variety of topics • Conducts exploratory analysis with GenAl to generate solutions & insights, using domain knowledge • Analyzes data to find deep relations within data to be used in the ML algorithms … in data science/prompt engineering or similor roles Expertise in data handling, and data governance setup within the organization Business: financial management, business analysis, metrics reporting, spreadsheet software • Data & analytics: Data Reporting, Visualization & Dashboarding Tools Data Cleansing, Data Curation, Data Harmonizing & Packaging Qualifications Descriptive & Diagnostic Analytics Algorithm Design … Programming & Model Construction - Data Mining - Prompt Engineering & Big Data Analysis - Machine Learning, LLMs, NLP models (sentiment analysis, entity recognition, language generation etc). - Hands-on experience in SQL., Python, Microsoft Azure, Databricks, Azure OpenAl Services - Focus on Microsoft technologies for data manipulation, analysis, visualization, machine more »

by designing, implementing and deploying tools and solutions for a broad range of business objectives, such as asset pricing, demand forecasting, sentiment analysis, and other machine-learning techniques for pattern recognition and statistical modeling. You may also participate in due diligence analyses of future investments, or evaluate … reports to ensure data quality and business value. Clean, structure and normalize data to eliminate redundant or unnecessary information to enable robust and sound analysis Participate in the development of both back-end data pipelines and front-end applications Generate analytical reports to track adherence of client processes to … Mathematics, Engineering, Statistics, Computer Science or Physics. Advanced degree preferred but not required. Knowledge of Linear Algebra, Probability Theory, Statistics and Optimization, including regression analysis, parameter estimation, factors selection, PCA, hypothesis testing, time series, queuing theory, survival analysis, clustering, linear programming. Experience with machine learning methods, such as more »

team building game-changing products! You will: Build and deploy cutting-edge machine learning models (fraud detection, risk assessment) using NLP (sentiment analysis, named entity recognition) to solve complex product challenges. Translate business needs into impactful AI solutions, guide project execution, and mentor junior data scientists through more »

strategic decisions, drive automation by using existing tools and proposing the use of new ones. You will also lead all reporting including post campaign analysis, sentiment and conversation analysis. You will build measurement frameworks, set KPIs and execute media measurement to drive business goals across brand media. … supported by a junior analyst. Key Responsibilities Work closely with Strategy and Social leads to identify new opportunities to improve media performance through testing, analysis, insights and recommendations Work with the broader team to implement data-driven media campaigns, set KPIs and define measurement frameworks Lead campaign reporting and … post campaign analysis, including client readouts Drive forward Learning Agenda through hypothesis testing and tool adoption Take ownership of data deliverables and lead client communications projects with oversight from social and operational leads Thrive in a fast-paced and deadline-driven environment by managing multiple projects and work streams more »

and business challenges. Including, but not limited to: Target audience profiles/segmentations Customer journey touchpoints, needs and pain points Product/brand sentiment Product/brand preference Key conversation topics Media preferences and consumption Competitor landscape Identify the most appropriate data sources, tools and methodologies needed to … understand audience profiles, behaviours, attitudes, preferences etc. Social listening tools (e.g. Netbase, Brandwatch, Meltwater, Sprinklr) to identify product/brand sentiment, emotional analysis and key conversation topics Keyword search tools (e.g. Google Trends, KeywoordTool.io, SimilarWeb) to identify related search terms, search trends, questions and share of search … s (e.g. Salesforce, Twilio Segment) Analytic platforms (e.g. Azure, Dataiku) Social analytics tools (e.g. Netbase, Quid, BrandWatch, Meltwater) Intelligence tools (e.g. GWI, YouGov) Data analysis tools (e.g. R, Python, SQL) Digital marketing platforms (e.g. FB Ads Manager, LinkedIn, TikTok) Creating an inclusive environment We love what we do, and more »

The mission is to develop chatbots to have an emotional support element and understand the past histories and struggles of each user, so sentiment AI knowledge would be a real bonus. Requirements: Min 2 years experience in designing conversations for chatbots, voice assistants, virtual agents. Understanding of NLP … concepts, including intent recognition, entity extraction and sentiment analysis. Strong writing and scripting skills t Experience with virtual agent platforms such as IBM Watson, DialogFlow or similar. On Offer: Salary- Up to £50,00 (DOE) Fully remote working 25 days annual leave + UK bank holiday Enhanced parental more »