1 to 25 of 57 Statistics Jobs in the South East

Banking or Utilities industries; or within a data-related consultancy Educated to degree level (postgraduate preferred) in a quantitative discipline such as Computer Science, Statistics, Mathematics, Economics, or similar Working knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLP Proficient in Python ...

communication skills Knowledge of machine learning, AI, or data governance frameworks Familiarity with Agile methodologies Degree in a quantitative discipline such as Mathematics, Statistics, or Computer Science Location: London, Northampton or Glasgow Hybrid working: 2 days on site per week ...

derive meaningful insights. Communication Skills: Excellent verbal and written communication skills, with a knack for storytelling through data. Education: A degree in Data Science, Statistics, Mathematics, or a related field (Master's or Ph.D. preferred). What you'll get in return Exciting Projects: Work on diverse and challenging projects ...

sure you tick every box, we’d still encourage you to apply. Your skills & experience: Master’s degree in Data Science, Analytics, Actuarial, Statistics, or a related field Significant experience leading analytics teams and delivering end‐to‐end analytics projects in Insurance or Healthcare sector. Strong expertise in BI & analytics ...

years of experience in MMM and analytics/data science Background in econometrics, MMM, or marketing effectiveness Degree in something analytical (e.g. Statistics, Economics, Data Science, Maths, Marketing Analytics) Comfortable with tools like Python, R, SQL, Excel, and data visualisation platforms Experience working with large datasets and building robust models ...

contact in the business. Provide Group and local HQs with timely and accurate data analysis upon request. Requirements: University degree in Engineering, Science, Mathematics, Statistics or a related field. Fluent in English, both written and verbal (C1/C2). Minimum 6 years of experience as a Senior Data Insights ...

Experience of Project Management in Defence & Security and/or other Government Departments. Degree (or equivalent) in a numerate subject such as, Mathematics, Engineering, Statistics or Physics. Cloud support experience (e.g. AWS, Azure, or Google Cloud). CULTURAL FIT Seeing the Big Picture An ability to focus on the goals ...

ROI. - Experience/knowledge of Zapier, Bemycar, MSD software or similar packages advantageous. - Degree qualified in a relevant field such as data science, statistics, computer science, mathematics or digital marketing essential. This role is a vital part of the company's mission to enhance operational efficiency and maximise growth opportunities. ...

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 ...

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 ...

risk analytics, and scenario modelling Experience in threat detection/anomaly detection, such as fraud, compliance, safety, or security use cases Strong grounding in statistics, hypothesis testing, and experimental design Experience working with large, complex, and messy data sets Experience in life sciences, healthcare, or other highly regulated sectors This ...

/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 ...

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 ...