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Desk Data Scientist - Energy Trading - London

Posted a month ago

  • London, Greater London
  • Any
  • External
  • Expired - 2 months ago
Job Description
Desk Data Scientist - Energy Trading - London
Our client is one of the leading global energy / commodity traders, operating at the bleeding-edge of data science / energy innovation. As a senior member of the team you will lead the creation of new use cases / AI products.
Your contribution will underpin commercial / strategy decisions in the energy transition.
We are looking for a Desk Data Scientist with strong Machine Learning skills, a (hands on) 'individual contributor' with excellent consulting skills and a strong technical / coding background.
Responsibilities include:
Thought leadership of new ways of how to apply data science to structured / unstructured data sets within a complex / global brand.
Identification and prioritization for projects in a dynamic environment, with a keen eye for where ‘maximum value’ can be delivered.
Applying machine learning models / optimization in creative ways to heterogeneous data sets.
Taking concepts from POC into production / working with global development teams
Code reviews and experimental design of new solutions / mentoring members of the team
Always seeking new ways of utilizing data / providing solutions that make impact
Qualifications (Hard Skills):
• MSc or PhD level Computer Science, Machine Learning, Applied Statistics, Mathematics (Russell Group)
• 4+ years of hands-on experience in applying data science as a Data Scientist, Quant Researcher, or Quant Developer
• Python (3), high level of capability in writing understandable / extensible code
• Experience of data storage platforms (SQL, NoSQL, Map-Reduce frameworks etc.)
• Proven track record of developing trading strategies / insights for front office users
• Experience presenting data visually (Plotly, D3, Tableau).
• Time-series modelling (ML / econometrics)
• Enterprise software development (code design, review, gitflow, etc.)
• Cloud-based data science workflows (on AWS in particular)
• Deep Learning (able to translate deep learning models)
• Experience in Energy / Commodities (in an alpha generating role)
Soft Skills:
• Self-Motivation / discipline
• People first / natural collaboration skills
• Able to work independently / in teams through all levels of an organisation
• Team player / unpolitical working style
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