1 to 25 of 86 Remote/Hybrid Statistics Jobs in the UK excluding London

insights and performance metrics * Work collaboratively with cross functional teams and stakeholders to deliver data driven solutions Requirements * Degree in Data Science, Computer Science, Statistics or a related discipline * Proven experience in data analysis, statistical modelling and machine learning techniques * Strong skills in Python, R and or SQL with experience ...

/Bitbucket, Jira, Confluence Familiarity with JavaScript, jQuery and Microsoft .NET technologies is advantageous Outstanding quantitative and analytical problem-solving ability Strong understanding of statistics fundamentals (e.g. hypothesis testing, regression, modelling techniques) Ability to structure ambiguous problems and deliver pragmatic, value-focused solutions Exceptional communication and storytelling skills, with ...

simplify complex concepts for non-technical audiences. Qualifications You will typically have a strong academic foundation in a quantitative discipline such as Mathematics, Statistics, Data Science, Engineering, Physics or a closely related field. Many candidates at this level will hold a Master's degree or equivalent advanced qualification, although this ...

problem‐solving skills Degree in a numerical or analytical subject , such as: Maths Physics Engineering Economics Similar disciplines Some exposure to coding or statistics : Python preferred R or MATLAB acceptable from degree work Ability to explain how you would approach a problem, not just write code Comfortable working with data ...

SQL. Good knowledge of Azure Databricks and modern data technologies. Experience with WTW Radar software is preferred. A quantitative degree in Mathematics, Statistics, Engineering, Physics, Computer Science, or Actuarial Science. Excellent communication skills to convey complex technical concepts to technical and non-technical audiences. A passion for innovation and continuous ...

Data and AI Responsible for: AI Team Key relationships and connections: DDaT Directors Head of DDaT Strategy and Data Management Head of Data Science, Statistics and Advanced Analytics Head of Data Services Head of DDaT Governance Head of Head of Cyber Security & Infrastructure Services Primary Care Organisations National bodies Department ...

science standards, tools, and ways of working Requirements: 3 plus years in industry as a data scientist Strong Python proficiency, including: Solid understanding of statistics and machine learning fundamentals Experience working with structured data and SQL Ability to communicate analytical findings clearly and confidently Experience supporting machine learning models ...

motivated, with the ability to take ownership of projects Excellent communication skills (written and verbal) Experience with reporting tools (Power BI, Tableau, Qlik) or statistics is advantageous Why Join Quorum? Quorum is an employee-owned Scottish technology consultancy, delivering innovative data, cloud, and infrastructure solutions to organisations of all sizes. ...

turn insights into action.You’ll work within projects from data strategy sqand collection through to modelling, insight generation and activation, applying econometrics, regression, Bayesian statistics and machine learning to complex marketing and customer datasets.You’ll translate analytics into clear commercial recommendations, build dashboards and visual storytelling tools ...

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 ...

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 ...

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 ...

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 ...

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 ...