3 of 3 Model Validation Jobs in Bradford

You will develop detailed and accurate forecasting models to support the customer and pricing optimisation teams to shape the future of data-driven decision making. Responsibilities Analyse and interpret model behaviour, delivering actionable insights to both internal stakeholders and external clients. Design and build robust machine learning models for demand forecasting at scale. Contribute to a growing library of … forecasting algorithms, leveraging tools from operations research, statistics, and computer science. Validate model improvements through a rigorous testing framework, similar to CI/CD practices in software development. Requirements: PhD or Masters in a related field Python GCP preferred Forecasting experience (nice to have) Data Scientist - Forecasting REMOTE We're looking for a Data Scientist to join a global … You will develop detailed and accurate forecasting models to support the customer and pricing optimisation teams to shape the future of data-driven decision making. Responsibilities Analyse and interpret model behaviour, delivering actionable insights to both internal stakeholders and external clients. Design and build robust machine learning models for demand forecasting at scale. Contribute to a growing library of More ❯

the hospitality and transportation spacce. You’ll be at the forefront of developing forecasting models, and supporting pricing strategies. This is a hands-on role where you'll own model development end-to-end—from design and testing to deployment and monitoring. Key Responsibilities Lead efforts to improve the performance and scalability of deployed forecasting models. Design and build … internal ML and forecasting libraries. Contribute to product planning by translating business objectives into measurable results. Champion best practices in model development, validation, and inference pipelines. Stay current with state-of-the-art techniques in AI and ML and apply them effectively. Work closely with technical and non technical stakeholders. What You’ll Bring PhD is highly preferred More ❯

A/B test experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports, and publish your work for … in Computer Science or related field (Natural Language Processing focus only) Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Experience with LLM benchmarking Strong programming skills in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation problems Familiarity with core tools More ❯