Data Science Intern - UK

Data Science Intern - UK

NOTE: Candidates applying should be available from July 1st to December 22nd 2022.

Sense builds home monitoring technology to help people understand their household energy consumption, know what is going on in their homes, and ultimately reduce their energy footprint. We help make homes safer, more efficient, and more reliable. We are serious about impacting climate change, and we regularly measure reduction in carbon emissions from our technology.

Sense was founded in 2013 by pioneers in speech recognition technologies. This background provides the team with the intuition to unlock key insights relating to home energy efficiency and deliver those insights to customers. We use machine learning technology to provide real-time insights on device behavior. Customers rely on Sense for a wide range of uses including monitoring their home appliances, determining whether they left appliances running, finding faulty appliances, and identifying how to reduce energy costs.

We are looking for an intern or co-op to join our Data Science team in 2022. You’ll be diving into messy time-series data, improving our visualization tools, exploring data-driven modeling, and ultimately improving our customers’ visibility into their homes.

We are looking for someone who is:

  • Passionate about the energy sector and climate change
  • Eager to work in a young, fast-paced, and exciting startup environment
  • A 3rd year, 4th year, or graduate student working towards a numeric degree: computer science, electrical engineering, applied mathematics, physics, etc.
  • Familiar with classifiers and regressors in machine learning.
  • Experienced in software development in Python.
  • Adept at communication: eager to learn insights from data and present them to the team.

Nice to have

  • Experienced in signal processing, time-series / frequency analysis, algorithms, and data structures.
  • Experience with Jupyter notebooks.
  • Experience with software development tools: git, testing, debugging.
  • Experience with deep learning frameworks such as Tensorflow or Pytorch.


  • Be a part of a team that will make a difference in the world.
  • Gain experience at a startup building a consumer product from the ground up.
  • Work with a small team of experienced entrepreneurs creating revolutionary technology.
  • Deep dive into a wide range of interesting software problems to be solved.
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