4 of 4 Remote Predictive Modelling Jobs in Bath

must. AI Engineer Key Responsibilities: Develop and optimise AI-powered recommendation engines, chatbots, and virtual assistants to enhance customer experience and personalise interactions. Create predictive models for demand forecasting, inventory management, and dynamic pricing to optimise operations and reduce costs. Build machine learning models for content recommendation engines and More ❯

inventory, pricing models, and revenue performance. You will work across datasets covering sales activity, inventory levels, supplier lead times, and customer demand to develop predictive models that inform effective pricing and stock management strategies. This role demands both technical acumen and commercial awareness, as you’ll directly impact profitability … through smarter pricing, stock optimisation, and predictive inventory management. Key Responsibilities: Develop predictive and statistical models to optimise inventory management, pricing strategies, and advertising sales performance. Analyse inventory turnover, sales rates, supplier lead times, and customer demand to inform stock and order management decisions. Create dynamic pricing models … driven decision-making across the business. Build scalable, reusable models and frameworks to inform long-term inventory and pricing strategy. Skills & Experience: Strong statistical modelling and predictive analytics expertise. Proficiency in SQL and Python (or R) for data manipulation and model development. Experience working with commercial, sales, or More ❯

performance APIs and backend services using Go and Node.js 🎨 Create sleek, intuitive UIs with React and TypeScript 🔍 Work with AI & data teams to integrate predictive models and automation tools ☁️ Deploy & optimize applications on cloud platforms ( AWS, GCP ) 🏗 Own system design & architecture to ensure scalability, security, and reliability 🚀 Set best More ❯

Do: Analyse complex datasets to identify trends, patterns, and actionable insights Use Python (including libraries like Pandas, Scikit-learn, etc.) to build and deploy predictive models and ML algorithms Develop pre-processing pipelines to clean, transform, and prepare data for modelling Apply advanced techniques, including NLP and deep … Clearance (SC) is essential Strong Python skills with hands-on experience using libraries like Pandas, Scikit-learn, and NumPy Solid understanding of statistics, data modelling, and machine learning techniques Experience delivering data science solutions in a business or client-facing environment Clear communication skills and confidence engaging with stakeholders More ❯