51 to 53 of 53 Predictive Modelling Jobs in London

division’s technology roadmap, with a strong emphasis on AI, ML, and data platforms. Drive innovation in AI‐powered customer capabilities (e.g., personalization, predictive analytics, automation). Evaluate and integrate emerging technologies (LLMs, generative AI, real‐time decisioning systems) into the product ecosystem. Align technical strategy with business objectives … cloud infrastructure. Track record of leading cross‐functional teams (engineering, data science, product). Skills & Attributes Deep understanding of AI/ML technologies (predictive models, NLP, recommender systems, or similar). Strong architectural thinking with a pragmatic, hands‐on approach. Ability to balance innovation with operational reliability. Excellent communication ...

full accountability for transforming high-risk, critical enterprise crises into stabilized, high-growth accounts. The role goes beyond reactive remediation; you will architect the predictive methodologies, resource allocation strategies, and cross-functional feedback loops necessary to neutralize delivery risk before it impacts revenue. You will command a matrixed global … revenue successfully stabilized and retained annually. Systemic Risk Reduction: Measurable year-over-year decrease in accounts transitioning from moderate to high-risk due to predictive intervention framework efficiency. Operational Velocity (TTS): Reduction in average Time-to-Stabilization across the global portfolio without compromising delivery quality or customer satisfaction. Capital ...

Science and Engineering, and own the tradeoffs across model richness, latency, cost, and time-to-value. What you’ll bring • Deep fluency across the modelling stack, from supervised learning, propensity and uplift, to representation and embedding models, alongside modern LLM-based systems. You understand how predictive models ...