4 of 4 Remote/Hybrid Analytics Jobs in Stirling

Computational Linguistics or a closely related STEM field. Experience with reinforcement learning techniques, such as with verifiable reward (RLVR) Our Hiring Process Company: Chattermill Analytics Limited Qualifications Language requirements Specific requirements Educational level Level of experience (years) Senior (5+ years of experience) Tagged as: Computational Linguistics, Data Mining, Industry, Language ...

Analytics Lead Permanent | Full Time Stirling | Hybrid Working We’re supporting a well-established organisation in the search for a People Insights & Analytics Lead to join its People Systems and Data team. This is a great opportunity for someone who enjoys turning complex people data into clear, meaningful insight that … influences business decisions. You’ll lead the people analytics agenda, own the MI and reporting calendar, and work closely with senior stakeholders to turn data into actionable recommendations. You’ll also have people leadership responsibility within the People Insights & Analytics function, supporting colleagues with priorities, development and quality of delivery. ...

Reed are working with a UK wide business that are looking to hire within their Stirling based office. Role- People Insights and Analytics Lead Location- Stirling Job type- Permanent Working hours- 38.75 (hybrid working with 2 days on site and 3 days from home) Working in the People Systems … Data Team, this role is responsible for leading the people insights and analytics agenda, turning complex people data into clear, actionable insight for stakeholders across the business. The post holder will be confident working with complex people data, reporting tools such as Power BI, MS Excel and other reporting solutions ...

Chattermill Analytics Limited is hiring a Senior Machine Learning Engineer (UK or Poland) with remote or hybrid options. You will work on customer feedback analytics using advanced AI, including custom fine-tuning and LLM-powered features. You’ll collaborate across engineering, product, and commercial teams to deliver scalable ML solutions. ...