15 of 15 Statistics Jobs in the East Midlands

Experience integrating spatial and analytical datasets Familiarity with open data platforms and transport data sources Qualifications Degree (or equivalent experience) in data analytics, mathematics, statistics, economics, computer science or a related discipline Training or experience in data analytics, statistical modelling or transport modelling Membership of a relevant professional body ...

skills in Python and/or R. Experience using machine learning frameworks and libraries such as scikit-learn, TensorFlow, or PyTorch. Good understanding of statistics, data preparation, feature engineering, and exploratory data analysis. Strong problem-solving skills and the ability to communicate technical concepts effectively. Experience with data visualisation tools … model deployment approaches and MLOps concepts. Awareness of AI governance, ethics, bias mitigation, and data privacy principles. Degree qualification in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related discipline. Additional Information Location: Derby, 5 days per week onsite. Candidates must have the right to work in the UK. ...

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 ...

clusters. Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques.A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation.A drive for continued learning through an internal and external focus, and an ability to prototype new techniques ...

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 ...

business challenges in underwriting. We are interested in candidates who have experience working with Open Banking or Credit Bureau data. A deep grounding in statistics and experience of Model Risk Management is also welcomed. What you'll doDevelop and maintain the machine learning models which define our competitive advantage … extract actionable solutions, working cross-functionally to support key business initiatives and drive sustainable growth. What we're looking forA strong understanding of probability, statistics, machine learning, feature extraction and familiarity with large data set manipulation.Experience using deep learning models, particularly for sequential data.Familiarity with Open Banking or Credit Bureau ...