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. 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. * Collaborate closely with colleagues and clients to resolve complex issues together by developing data science products and solutions. * Build datasets, validate data, implement causal inference or predictive methods from the data science toolbox, and present your work with impactful and interactive visuals and reports. * A well-established understanding of data science methods for causal and/or predictive analysis.
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