126 to 150 of 200 Statistics Jobs in England

such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring ...

workflows Expertise in: Model selection and fine-tuning Prompt engineering Enterprise system integration Solid data science fundamentals , including: Data analysis Feature engineering Machine learning Statistics Desirable Skills Advanced prompt engineering and LLM fine-tuning Experience integrating AI solutions within complex enterprise environments Strong understanding of cloud-native AI architecture best ...

related field 💻 Strong Python experience in a quantitative, trading, or data-intensive environment 📊 Solid understanding of financial markets and quantitative concepts (time series, statistics, risk) 🤝 Experience working closely with Quants or investment teams in a front-office setting ⚡ Ability to translate research into scalable, production-ready systems ...

delivery, this is a pretty rare way to do both without compromise. Skills & Experience Required Educated to degree level in a STEM subject; Mathematics, Statistics, Engineering, Chemistry, Physics, Computer Science, Machine Learning A commercial background in building and delivering data science and AI solutions end to end Ability to lead ...

have relevant full-time experience You demonstrate strong programming skills in C++/Java or other object-oriented languages You demonstrate good knowledge of statistics and machine learning You have attention to detail, adaptable, driven and collaborative You demonstrate interest in markets and systematic trading Preferred qualifications, capabilities, and skills ...

leadership team What are we looking for We can consider a range of experience for this position. Degree qualification - Strong mathematical background - Maths, Physics, Statistics etc. Previous experience in pricing in something we will happily consider but not essential Role - Graduate Pricing Analyst Location - Manchester Work Pattern - Hybrid 3 days ...

just shipping fast 💃 Excited to work in a small, fast-paced startup where you'll take ownership and jump in wherever needed Desirable 🧠 Enough statistics/ML knowledge to retrain, tune, and troubleshoot models—not just wrap APIs 🏗️ Experience owning infrastructure: environments, dependencies, CI/CD, rollbacks 🐳 Familiarity with containerisation ...

maintaining a trusted network of research partners and respondent panels globally ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ What They're Looking For 🎓 Degree in a relevant field (Informatics, Business, Statistics, Economics, Health/Medical, Social Sciences or equivalent) 📋 2–5 years' experience in a primary research or insight role — agency or in-house 🔍 Strong expertise across ...