76 to 100 of 122 Statistics Jobs in London

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 ...

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 ...

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 ...

/CD pipelines Familiarity with Microsoft Purview, Entra ID, DLP, or Insider Risk tools Understanding of ISO 27001, Agile ways of working Knowledge of statistics, data science, or AI/ML applied to cybersecurity Relevant certifications (MS-500, AZ-500, SC-series, Security+, GSOC, CCSK) Perks & Benefits Hybrid/remote ...

/CD pipelines Familiarity with Microsoft Purview, Entra ID, DLP, or Insider Risk tools Understanding of ISO 27001, Agile ways of working Knowledge of statistics, data science, or AI/ML applied to cybersecurity Relevant certifications (MS-500, AZ-500, SC-series, Security+, GSOC, CCSK) Perks & Benefits Hybrid/remote ...

resistance, building adoption across different types of people, and making change persist beyond your direct involvement. Technical background: You have a background in probability, statistics, or a related quantitative field, with hands‐on experience building and overseeing probabilistic ML models on structured commercial or financial data. Production experience: You have ...

with system upgrades and business projects Managing support tickets, defects and change requests Supporting front-end pension system configuration tasks Producing reports and Zendesk statistics Working closely with third-party suppliers Supporting data integrity and process improvement initiatives Requirements: Minimum 3 years’ experience in a similar role Strong SQL query ...

ownership of projects while contributing as a senior member of a collaborative team. A strong academic background in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or a related field is essential. Previous exposure to sports trading, betting markets, or predictive modelling within sport would be highly advantageous. … analytical methodologies and tools Skills & Experience Required Strong programming skills in several of the following: Python, C#, C++, Java Advanced knowledge of mathematical modelling, statistics, and probability Proven analytical and problem-solving ability Experience working with large-scale data and data science methodologies Excellent communication and stakeholder engagement skills High ...

ownership of projects while contributing as a senior member of a collaborative team. A strong academic background in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or a related field is essential. Previous exposure to sports trading, betting markets, or predictive modelling within sport would be highly advantageous. … analytical methodologies and tools Skills & Experience Required Strong programming skills in several of the following: Python, C#, C++, Java Advanced knowledge of mathematical modelling, statistics, and probability Proven analytical and problem-solving ability Experience working with large-scale data and data science methodologies Excellent communication and stakeholder engagement skills High ...

probabilistic models for lending decisions, embedding AI across the business, and collaborating with engineering and product teams. Candidates should have a strong background in statistics, experience managing data science teams, and a proven capacity for transforming analytical workflows. This position offers a hybrid work model with a competitive salary range ...

teams. The successful candidate will work closely with various teams to shape strategic decisions and must demonstrate strong leadership and a technical background in statistics and probability. A salary between £120,000 to £170,000 is expected. #J-18808-Ljbffr ...

teams to create or adapt simulation programs in a variety of languages –java, C, C++ etc Has strong expertise in Combinatorics, Probability Theory and Statistics Has knowledge of object-oriented program design Has a long-standing passion for playing games of multiple genres, and passion in slots and casino games ...