We are looking for people with the ability to translate a trading or energy market analysis question into a data science solution. This requires deep knowledge of machine learning and/or statistics, as well as a good grasp of software development. Besides the data science capabilities and experience you should be able to clearly and effectively present findings to our colleagues in other areas of expertise and business stakeholders.

Responsibilities

: Developing data science solutions for energy market analysis and trading-related business challenges. Write clean and maintainable production-level code, including tests; the tech stack we work with typically includes: Python, Databricks, GIT, Azure, SQL. Integrating models into production on a weekly or even daily basis. Work closely with the customer and the Product Owner day-to-day. Work in a highly-collaborative, friendly Agile environment, participate in Ceremonies and Continuous Improvement activities. Documenting and explaining the results of analysis or modelling to both a technical and non-technical audience. Learning new engineering practices, technologies and continuously improving our Agile practices.

Required Skills and Experience

: MSc or equivalent in Statistics, Mathematics, Econometrics or similar discipline with at least 5 years experience on data science projects. Experience in general linear modelling, multivariate analysis, statistical modelling, and preferred additional knowledge of time series modelling. Awareness of issues in statistics and dependence on data quality. A practical common sense approach to problem solving and attention to detail. A passion for and expertise in practicing data science to solve real-world customer problems. Excellent oral and written communication skills. Strong interpersonal skills and enthusiasm for team work, as well as the ability to work independently. High standards of code quality, making use of version control tools. Proficiency in statistical software packages such as Python, R, Matlab. Good knowledge of cloud environment such as Azure. Experience in Agile working methodology.

Job Category:

Data Scientist

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Data Scientist