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service needs, applying human-centred design approaches to shape intuitive, accessible and scalable digital products, predominantly using Node.js, Svelte, React and supporting Python services where
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such as SPSS, R or Python; Power BI or equivalent a strong advantage. Demonstrated experience designing and validating quantitative analyses and models, with a focus on rigour, accuracy and reproducibility
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estimation. Experience with convex or semidefinite optimisation, variational methods, or computational complexity. Proficiency in relevant scientific programming or quantum-software tools, such as Python
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deep hands‑on expertise in advanced analytics, machine learning and production‑level data science, alongside strong capability in SQL, Python or R, and modern cloud data platforms. Unlike a Data
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experience (5+ years) of data transformation languages such as SQL and Python. Strong analytic capability, with the ability to integrate team efforts to achieve goals and overall program activities
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iterate solutions Evidence of intermediate to advanced skills in data and visualisation tools such as SQL, Python, RStudio, Power BI and Domo Strong communication and interpersonal skills (oral, written and
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audiences • Proficient in documentation, technical writing, and reporting • Experience in large-scale automation deployment project by Automation tools, proficiency in Ansible, Python, Bash shell and
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development in the following areas: Cyber Security and Cloud Technologies (preferred) Programming (Python, Java, C/C++, Web) 4/ Demonstrated ability to prepare and deliver programs at undergraduate level
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program Key Selection Criteria: Master’s degree in Computer Science, Software Engineering, Information Technology, or other relevant disciplines Proficient skills in programming (Python, Java, etc), Data