15 of 15 Statistics Jobs in the Midlands

complex datasets (e.g. NHS systems, workforce, operational systems) Note: Too Person Specification Qualifications Essential Educated to degree level in a relevant subject (e.g. Mathematics, Statistics, Computer Science, Data Analytics, Information Management, or a related discipline), or able to demonstrate equivalent level of experience and expertise. Evidence of continuing professional development ...

Data analytics and statistics, Data visualisation, Machine learning and predictive modelling, Databases and big data, Software, systems, and digital technologies, Support from academic tutors and a workplace mentor, Completion of an End‐Point Assessment (EPA), including a project - See Website for more information. Role As a Data Analyst Degree Apprentice ...

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 ...

Python skills, including libraries such as pandas, NumPy, SciPy, and scikit-learn Experience with gradient boosting frameworks (e.g. LightGBM or similar) Solid grounding in statistics and machine learning concepts Comfortable working with structured data and SQL Ability to communicate insights clearly to both technical and non-technical audiences Experience taking ...

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 ...

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 ...

have a passion for number crunching, statistics and potentially modelling? Are you motivated by spotting patterns, identifying trends and understanding what the data is telling you? Do you like to innovate and try out new ways of working? Are you interested in the environment Role Your role will be varied ...

collating information to produce required reports for the service Developing and maintaining the Data Management system in the service Recording and maintaining client statistics/data/case notes using the electronic client management systems in accordance Ensuring that data monitoring is available and demonstrates the benefits and impact ...

Gateway and Inbox Schedule training system updates with IT Support, ensuring training delivery is presented on current functionality and latest releases Report on training statistics and feedback, and make recommendations where appropriate If required, assist with Sales Demonstrations, Marketing Events, and provide any other support to the business Report ...

actively encourage and support the development of the company services on the intranet and website Analyse site information, including usage trends and statistics and provide regular reports to Management and Service Areas Be the main point of contact for all issues regarding web and intranet content Lead the network ...

Role Overview The Software Engineer (R&D) designs, develops and delivers robust, scalable software solutions while also originating and assessing new innovations. The role requires strong computer science foundations, the ability to think abstractly, and ...