The Competition and Markets Authority (CMA) is a world leading Competition Authority at the forefront of tackling these pressing public policy questions. Our mission is to make markets work well in the interests of consumers. We undertake objective, evidence-based analysis that can have a direct and substantial impact on the economy and economic prosperity.
The Data, Technology and Analytics (DaTA) unit helps the CMA engineer complex data and deploy advanced machine learning techniques. For example, we are developing algorithms to search among and prioritise the 100,000s of files, cookies, video and emails that make up the evidence to support each one of our cases. We help the CMA understand how firms are using data, what their algorithms do, and how algorithms are interacting to form the markets we see.
Director of Data Science, Intelligence and Innovation
We are looking for the successful candidate to have a Masters degree in a relevant subject such as computer science, statistics, applied mathematics, physics or economics and significant, relevant work experience with a broad range of practical experience of the application of machine learning and algorithmic methods. Alternatively, you might have a PhD and a little less work experience.
You will have experience of providing strong and inspirational management, leadership and development to a team of data scientists in a high pace environment, including strong experience of overseeing coding, in R and Python, and some experience of setting coding standards and creating processes to quality assure coding. More Information >>>>> http://bit.ly/2wq9lHZ
Assistant Data Scientist - Engineering
We are looking for An undergraduate degree in a quantitative subject, an equivalent level qualification or minimum two years experience working in data science. You will have a good understanding of supervised and unsupervised machine learning methods as well as strong ability and experience of coding in R or Python. You will also have knowledge of cloud computing services such as AWS, Azure or Google Cloud with a proven interest in learning about the latest methods in data science and understanding new technologies. More Information >>>>> http://bit.ly/2JHvev9
Data Scientist – Engineering Team
s a Data Scientist in the DaTA unit, you be a key member of the team, helping to shape and deliver projects and making sure the CMA is plugged in to the latest thinking on data science and engineering. You will be responsible for using data engineering techniques to process complex data sets at scale and pace. You will help us further develop our cloud analytics platform – creating data pipelines that integrate with our operational systems and processes. You will build our understanding of how firms are engineering and exploiting their data assets in their pricing, ranking, demand forecasting and more. You will work with data scientists from across the unit to develop machine learning projects and deliver them into live operations. More Information >>>>> http://bit.ly/2QtFWWC
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