6 of 6 Statistics Jobs in Nottinghamshire

years of experience in data analytics, preferably in a consulting or advisory context. University degree 2.1 or higher (or equivalent) in Computer Science, Mathematics, Statistics, or a related field. Strong analytical and problem-solving skills, with a keen attention to detail. Proficiency in BI tools such as Power BI, Qlik ...

times per week) to review experiments, debug models, and exchange technical insights. Qualifications Must-Have Strong academic or professional background in Applied Mathematics, Statistics, Computer Science, Physics, or Quantitative Finance. Expertise in probability, optimisation, and numerical analysis. Proficiency in one or more programming languages commonly used for quantitative work (Python ...

engagement and communication skills, with confidence working across operational, strategic and technical teams A degree (or equivalent experience) in a quantitative discipline such as statistics, mathematics, economics or data science It would be great if you had Experience working with Databricks Understanding of macroeconomic and market drivers affecting customer affordability ...

exposure to DevOps ways of working, for example CI and CD, git based workflows, or infrastructure as code, A STEM background such as Mathematics, Statistics, Computer Science, Engineering, or similar, or strong practical experience in place of a degree, Curiosity, a willingness to ask questions, and a focus on delivering ...

remediation of Information Security Incidents. Provide guidance on policy and process to the TPS team in all regions. Provide support on TPS measures and statistics in all regions. Identify opportunities for further automation and provide manual support. Qualifications Technical background with experience of SQL/Microsoft Power Query Background researching ...

least two of the following is required: AWS Bedrock/Sagemaker, Google Vertex AI, OpenAI and Azure ML is required An understanding of underlying statistics, machine learning and data science, data engineering and big data concepts is required An understanding of the process and data complexities and prerequisites, and success ...