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Paid Internship
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Required Degree
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20Open Positions

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Forecasting Data Scientist

octoenergy
Found 2 weeks ago
Location
London, United Kingdom
Time
Not disclosed
Work Mode
On-site
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
2 weeks ago

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • Python
  • SQL
  • time-series forecast models
  • data pipelines
  • data insights
  • machine learning

Soft Skills

  • diligent
  • thoughtful
  • passion for solving problems
  • providing alternative opinions
  • challenging those around them
  • being challenged

Job Description

As a Forecasting Data Scientist intern you’ll be joining a small team of 5 who forecast the energy needed for the business (both demand & generation) as part of our wider Energy Markets function. As part of the team you’ll be helping to forecast energy for over 12 million accounts across gas and electricity, serving 7 million households. The team is responsible for building and maintaining time-series forecast models, data pipelines and data insights within the forecasting function. Forecasts ultimately get used by the Trading & Risk teams. What you'll do: Day to day you’ll spend most of your time coding and could be working on anything from: creating a new forecast for wind sites or a segment of our customer portfolio; adding new functionality to our forecasting dashboards; testing our data to try to find new useful features to train our forecast on or researching new machine learning techniques to use in our pipeline. You will work alongside data scientists, engineers, analysts and traders to maintain and develop our forecasting capabilities. You will learn: * Data science skills (python, data wrangling, data visualisation) * Machine Learning methods (model types, workflow, metrics) * Data engineering principles (sql, version control, ETL) * Context around the Wholesale Energy Market

Requirements

  • general interest in the energy industry or net-zero
  • diligent and thoughtful
  • ability and interest
  • basic skills in Python
  • strong numerical skills
  • passion for solving problems

Related Field

  • Data & Analytics

Related Subfield

  • Data Science

Languages

  • English

Nice to Haves

  • SQL
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