Webio
Artificial Intelligence • Fintech • Customer Engagement
Webio is a company that specializes in enhancing customer engagement through Conversational AI technology. By automating and blending AI and live agent interactions, Webio helps organizations streamline customer conversations across various messaging channels, particularly focusing on credit, collections, and payments. Their platform enables improved customer communication outcomes, offering insights and data integration to optimize engagement strategies.
Data Scientist
Job not on LinkedIn
January 23
🇮🇪 Ireland – Remote
💵 €35k / year
⏰ Full Time
🟢 Junior
🟡 Mid-level
đź“Š Data Scientist
Webio
Artificial Intelligence • Fintech • Customer Engagement
Webio is a company that specializes in enhancing customer engagement through Conversational AI technology. By automating and blending AI and live agent interactions, Webio helps organizations streamline customer conversations across various messaging channels, particularly focusing on credit, collections, and payments. Their platform enables improved customer communication outcomes, offering insights and data integration to optimize engagement strategies.
đź“‹ Description
• This is a remote position. • Webio is a high growth conversational AI tech company. • We help automate customer conversations using AI & Machine Learning. • Work on interesting problems and get recognition for your contribution.
🎯 Requirements
• Improve our data science strategy and processes. • Data cleansing, reporting, and improvements on our existing ML models. • Use cutting edge data science techniques to improve entity collection and intent recognition. • Solve general data science problems. • Software Engineering Experience using Python. • Experience in solving data science problems. • Data science at a degree level or equivalent data science experience. • Solid troubleshooting skills. • Conversational written and oral communication in English.
🏖️ Benefits
• Work on leading edge AI and Machine Learning NLU based applications. • Contribute to tools, technologies, and processes on the ML team. • Work on green field and existing projects. • Add to production grade highly scalable ML & AI applications. • Learn about and implement leading edge Data Science processes and techniques.
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