26 to 50 of 127 Statistics Jobs in the UK excluding London

expenses fully paid). About you: You are degree educated, having achieved a 2.1 or above in a relevant discipline, e.g. Data Science, Mathematics, Statistics, Physics, Computer Science, Informatics or Engineering You have strong experience with analytics and data manipulation software e.g. R, Python, PySpark, SAS, SQL, SPSS You have ...

scanning. Qualifications Expertise in Pattern Recognition and Neural Networks Strong foundation in Computer Science and proficiency in developing scalable solutions In-depth knowledge of Statistics and advanced Algorithms Experience with tools and techniques relevant to machine learning and data analysis Master's or PhD in Computer Science, Data Science, Engineering ...

ArcGIS. The Job Description provides further details on the activities involved in this job. Education to degree level in a related subject (Statistics, Social Sciences, etc.) or previous relevant experience in the research/data analysis field is an essential requirement. The Person Specification provides further details on the required ...

number of areas. A Specialist knowledge and understanding of the Health Board's computerised administration systems. Experience of working with a range of statistics with a high degree of numeracy. Specialist knowledge of Microsoft Office Suite of products (particularly Excel, PBI & Access) Expertise in translating all National Minimum Datasets/ ...

leading or mentoring Data Scientists Strong Python (pandas, numpy, scikit-learn or similar) Strong SQL (complex joins, aggregations, analytical functions) Solid grounding in applied statistics, evaluation design, calibration, bias/fairness Experience working closely with Engineering/Data teams in production-first environments Comfortable operating within regulated industries Desirable ...

software, and systems engineering teams Produce technical documentation covering validation, assumptions, and performance metrics Required Experience: Degree in Mathematics, Physics, Electrical Engineering, Mechanical Engineering, Statistics, Computer Science, or related STEM discipline Experience developing estimation or control algorithms using EKF/UKF, Kalman Filters, MPC, or similar approaches Strong understanding ...

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 ...

teams and external stakeholders on performance matters Support discussions relating to non-compliance and contractual performance Health & Safety Compile, analyse, and report health & safety statistics and exposure data Other Duties Carry out any additional reasonable tasks as requested to support the needs of the business Essential Skills & Experience Proven experience ...

Proven experience operating at senior practitioner level as a Machine Learning Engineer, AI Engineer, Applied ML Scientist, or equivalent Strong grounding in applied mathematics, statistics, and scientific practice Demonstrated ability to evaluate ML models using quantitative evidence and structured experimentation Excellent Python skills for building, evaluating, and iterating ...

offer financial savings programs to help you plan for your future. If you run toward knowledge and problem-solving, join us. Did you know... Statistics show women apply to jobs only when they’re 100% qualified. But no one is 100% qualified. We encourage you to shift the trend ...

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 ...