Senior Data Scientist - Demand Forecasting with Deep Learning

  • Location

    London, England

  • Sector:


  • Job type:


  • Salary:

    £50000.00 - £80000 per annum + benefits

  • Contact:

    Niall Wharton

  • Contact email:

  • Job ref:


  • Published:

    4 months ago

  • Expiry date:


  • Startdate:


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Senior Data Scientist Energy Demand Forecasting with Deep Learning

Xcede's Data Science & Engineering team are working with a hugely exciting start-up in London who are disrupting the way the energy industry works. By providing an automated model for understanding energy consumption on more regular intervals (based on recent changes in UK regulations), the company in question are providing a more affordable, and cleaner service for their customers. While the business model is relatively straight forward, the tech behind it is anything but.

If you're interested in using Deep Learning (RNNs / LSTMs) methods in an applied setting, this could well be the job for you. With a 3-person team of ex-academics in place (coming from backgrounds focusing on reinforcement learning, deep learning, etc.) we're currently looking for a "hands-on" senior data scientist / lead data scientist to help guide them in a commercial setting.

Key Responsibilities:

- Design, implement, & optimise Deep Learning algorithms for the company's core product.
- Mentor Junior & Mid-Level Data Scientists
- Make more Data Science hires & take part in interviews
- Help work on company strategy from a data driven perspective.


- MSc / PhD background in a related Comp Sci / AI / ML related area.
- Commercial experience in an applied ML / DL setting
- Ideally Recurrent Neural Network experience (RNN / LSTMs)
- Some proof of mentoring ideally
- Python, TensorFlow, Spark, AWS (we're pretty flexible though it's all about the right tool for the right job!)

If you are interested in this or other Data Scientist opportunities please contact Niall Wharton on or +44(0)203 301 9908. Unfortunately this position is only available to candidates eligible to work in the EU without sponsorship.

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