3 of 3 Predictive Modelling Jobs in Hertfordshire

built data infrastructure rather than building pipelines from scratch.Everything you deliver will be accurate, explainable, and appropriately governed.What You'll DoDeliver reporting, data modelling and advanced analytics across complex business domains — defining, validating, and owning the definitions, metrics and models that drive decisions.Apply machine learning to real business problems … predictive modelling, classification, segmentation, anomaly detection, and forecasting.Use LLMs and generative AI to build analytical tools, AI-assisted insight products, and intelligent automation — including prompt engineering and retrieval-augmented generation (RAG). Validate all AI and model outputs for accuracy, bias, and reliability before they reach stakeholders.Translate reporting ...

data sourc es.Build and optimize data pipelines and ETL workflows for efficient and accurate data movement and transformati on.Apply data science and AI techniques (predictive modelling, clustering, regression, NLP) to uncover trends and enable forecasti ng.Design scalable data models and analytics frameworks to support self-service … proficiency and strong understanding of visualization best practic es.Programming & Data Science: Hands-on with Python or R for analytics, modeling, and automati on.AI & Predictive Analytics: Knowledge of AI/ML frameworks for building predictive and prescriptive insigh ts.ETL & Data Engineering: Experience designing scalable ETL/ELT pipelines using ...

translate findings into actionable recommendations. Innovative Solutions: Combine structured datasets with unstructured sources (like text and customer interaction data) to create robust features and predictive models. NLP & GenAI Expertise: Apply traditional NLP techniques and cutting-edge GenAI tools for text classification, summarization, entity extraction, and more. Data Pipelines: Build … Experience Required: Proven expertise in delivering end-to-end data science solutions that yield practical outcomes. Experience in combining structured and unstructured datasets for modelling and analysis. Strong background in NLP and GenAI techniques, including text classification, summarization, and embeddings. Advanced proficiency in SQL, Python, and PySpark, with ...