Responsibilities:

- Experience in one or some of - statistical modelling, machine learning, AI, data science, forecasting, optimization.

- Programming skills/concepts and the ability to pick up new technology with ease. Prior experience in R, Python and/or other statistical tools/languages are a plus.

- Familiarity with relational databases and intermediate level knowledge of SQL are a big bonus as you'll be working with different datasets.

- Sound understanding of a wide range of statistical techniques.

- The ability to understand and present findings to a non-technical audience. Prior experience in data visualization and/or deriving insight from a wide variety of data sources is a plus.

- To work with customers across multiple sectors; applying the latest research and technology to overcome real life commercial problems.

- Work as a key part of the data science team, who shape our products and drive growth by transforming how our customers operate.

- Interfacing with diverse people and situations - from academic experts to being onsite with our customers; this position requires a high degree of independence and responsibility

- Expertise in machine learning, data science and AI. An essential part of the role will involve keeping up-to-date with technological developments and research in the area

- Ability to communicate your understanding and findings clearly to experts in other disciplines.