Hybrid Data - Data Scientist / Bi Engineer Data - Data Scientist / Bi Engineer

Business Intelligence Engineer / Data ScientistCANDIDATE MUST LIVE IN Northern IrelandRole OverviewWe’re looking for a skilled Business Intelligence Engineer/Data Scientist to build and lead our business intelligence systems and provide AI-driven insights for predicting project and production costs. This role requires proficiency in BI tools, data analytics, and machine learning, along with strong collaboration skills. The ideal candidate will work with various teams, including production and pipeline, to develop and maintain data pipelines that keep our BI platform and AI models current.The CompanyThis company is a leading visualization and creative services studio, specializing in bringing high-quality visual content to life for film, television, games, and immersive experiences. They provide expertise in pre-visualization, post-visualization, and virtual production, working closely with production teams to design and deliver visually compelling narratives and innovative storytelling techniques. With a focus on cutting-edge technology and artistic collaboration, they help clients realize their creative visions from concept through completion.Key Responsibilities

• Choose and implement a BI platform (e.g., Tableau, Metabase) that aligns with company needs through cross-departmental collaboration.
• Design and maintain data pipelines for automatic updates to the BI platform and AI models.
• Integrate diverse data sources to provide actionable insights.
• Collaborate with teams to identify essential data metrics and ensure alignment on data and AI strategies.
• Develop AI models for cost forecasting and resource planning.
• Regularly refine AI models to stay relevant to evolving processes.
• Create dashboards and reports for real-time insights, supporting data-informed decision-making.
• Set up data-tracking mechanisms for AI model training in alignment with production teams.
• Promote collaborative decision-making on data infrastructure and AI implementations.
• Research and apply AI/ML for predictive analytics to enhance decision-making across the business.