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timelines clearly About you An experienced Data Scientist with strong machine learning and Gen AI expertise, and a track record of delivering production‑grade solutions Excellent proficiency in Python and SQL
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problem-solving skills. Evidence of highly developed verbal and written communication skills. Demonstrated programming skills in a Unix/Linux environment (E.g. Python, R). Knowledge of regional climate
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relevant university degree and or hands-on experience programming liquid handling platforms (e.g. Hamilton Star V, VENUS or equivalent), including experience with Python-based scripting or similar languages
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-world datasets from different databases & platforms (AWS, SQL, Azure) Using energy systems data analysis and modelling and the development of open-source tools e.g. in Python, R, Matlab or Excel Creating
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running and using common cybersecurity tools Experience developing tools and scripts using common software scripting languages (eg. Python, Javascript, Powershell) Basic familiarity with navigating cloud
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knowledge, skills and minimum 5 year experience with a demonstrated commitment to ongoing professional development. Proficiency in programming languages, including Python, JavaScript, and familiarity with R
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, PostgreSQL, Python, Power BI. Work collaboratively and or independently in managing competing priorities. Excellent customer service, communication, and ability to explain complex concepts. Commitment
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literacy with excellent skills in Microsoft Office applications and databases, in particular in Microsoft Excel. Preferably, strong analytical skills and familiarity with data analysis tools (e.g. R, Python
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across data, cloud, and business intelligence engineering. Advanced proficiency in SQL, Python/PySpark, and database schema development, with experience managing structured and unstructured big data
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) Assist the Data Analytics Specialist in developing and maintaining data pipelines (utilising Python and SQL) Maintain and optimise web and mobile tagging using Adobe Launch to ensure accurate attribution