Our team has extensive experience of providing data-led causal and predictive insights using methods from the fields of econometrics, statistics, data science, simulation and experimental design. * An excellent academic record, with an undergraduate or postgraduate degree in a quantitative field, for example computer science, mathematics, or data science, with a significant focus on using data science methods for causal inference and/or prediction.
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