Responsibilities:
* Experience in one or more of the following areas: statistical modelling, machine learning, AI, data science, forecasting, optimization.
* Programming skills and the ability to quickly learn new technologies. Experience with R, Python, or other statistical tools/languages is a plus.
* Familiarity with relational databases and intermediate knowledge of SQL for working with various datasets.
* Strong understanding of a wide range of statistical techniques.
* Ability to understand and present findings to a non-technical audience. Experience in data visualization and deriving insights from diverse data sources is advantageous.
* Collaborate with customers across multiple sectors, applying research and technology to solve real-world commercial problems.
* Contribute as a key member of the data science team, shaping products and driving growth by transforming customer operations.
* Interface with diverse stakeholders, from academic experts to on-site customers; this role requires independence and responsibility.
* Expertise in machine learning, data science, and AI, with a commitment to staying updated with technological advancements and research.
* Communicate insights and findings clearly to interdisciplinary teams.
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