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Bachelor’s degree in data science, statistics, computer science, actuarial or related numerate discipline
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3 – 5 years technicalexperience as a mid-level or senior-level data scientist with a strong focus on statistics and data analysis, (rather than machine learning engineering)
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3 – 5years technical experience using a modern data science stack: we require the Scientific Python stack and SQL, and a range of data engineering, processing and presentation tools optional but desirable (Spark, dbt, D3.js)
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2 – 3 years domain experience in insurance, banking or broader finance
English (required), Arabic (an advantage)
Full Time