Unum is seeking a mid-level Data Scientist for People Analytics and Insights to bridge workforce challenges with AI, machine learning, and advanced analytics. This role sits at the intersection of applied AI, data science, scalable data products, and people analytics. You will partner with HR business partners, Talent, Operations, IT, Legal, and data leaders to identify high-value opportunities, design practical solutions, build working prototypes, and move validated ideas into production. This is not a purely research role; you will translate ambiguous talent and workforce questions into clear problem statements, develop AI enabled solutions that stakeholders can test, and collaborate to ensure those solutions are responsibly deployed, adopted, and measured.
Unum is seeking a mid-level Data Scientist for People Analytics and Insights to bridge workforce challenges with AI, machine learning, and advanced analytics. This role sits at the intersection of applied AI, data science, scalable data products, and people analytics. You will partner with HR business partners, Talent, Operations, IT, Legal, and data leaders to identify high-value opportunities, design practical solutions, build working prototypes, and move validated ideas into production. This is not a purely research role; you will translate ambiguous talent and workforce questions into clear problem statements, develop AI enabled solutions that stakeholders can test, and collaborate to ensure those solutions are responsibly deployed, adopted, and measured.
You will work with fellow data scientists and data engineers to build intelligent systems not just models, using modern AI approaches such as large language models, embeddings, retrieval augmented generation architectures, agentic workflows, workflow automation, and predictive modeling. You will help shape the organization’s AI roadmap for workforce and talent analytics while ensuring solutions are practical, scalable, secure, ethical, and aligned to business value.
This role is well suited for someone who thrives in ambiguity, moves quickly from concept to prototype, exercises strong judgment about what is worth building, and can influence senior stakeholders through insight, technical credibility, and delivered outcomes. Preference for experience in HR and People Analytics.
Qualifications include a bachelor degree
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You will work with fellow data scientists and data engineers to build intelligent systems not just models, using modern AI approaches such as large language models, embeddings, retrieval augmented generation architectures, agentic workflows, workflow automation, and predictive modeling. You will help shape the organization’s AI roadmap for workforce and talent analytics while ensuring solutions are practical, scalable, secure, ethical, and aligned to business value.
This role is well suited for someone who thrives in ambiguity, moves quickly from concept to prototype, exercises strong judgment about what is worth building, and can influence senior stakeholders through insight, technical credibility, and delivered outcomes. Preference for experience in HR and People Analytics.
Qualifications include a bachelor degree
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Based on: Data Scientist II - People Analytics & Insights
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