Data Scientist

Manchester, Greater Manchester
£30000 - £45000 per annum + Fun culture, Development and Training

Data Scientist

Manchester, UK

£45,000 salary

Brand New opportunity for a Data Scientist to join an innovative start up who has recently launched their product - a smart living system. Your work as a Data Scientist will be to lead the data science team in building and developing machine learning models that effectively analyse consumer living behaviours and preferences to scale across all of their customers. If you're a Data Scientist with experience in Machine Learning, Python and AWS then apply now!


This innovative start up was established around 4 years ago and has pioneered the worlds first intelligent living system. Through developing cutting-edge technology, the team there have built a product that understands its owner's preferences and powers the ecosystem behind it. They are now looking to build out their data science function to align with their instant success and growth!


As a Data Scientist you will develop machine learning models for commercial use in analysing home data from a variety of consumers. You will also work with Oxford University and receive invaluable training and development opportunities. Your responsibilities as a Data Scientist will include but not be limited to:

  • Building advanced machine learning models using techniques such as random forests, Bayesian interference and clustering algorithms.
  • Ensure all of the machine learning models are developed correctly and applied effectively to the AWS platform.
  • Develop machine learning models and ensure they are correctly built for scale for commercial use.
  • Work with Oxford University on analysing the consumer data-set.


  • Minimum of MSc level degree (PhD preferred) in a relatable field i.e. Computer Science, Statistics, Mathematics
  • Minimum of 1-2 years commercial experience building machine learning models
  • Proven commercial experience using Python and AWS


  • Fun working culture
  • Advanced AI projects
  • Up to £50,000 salary
  • 24 days holiday plus your birthday off plus one flexible day
  • Pension, health insurance, 4 x death in service benefit
  • Laptop


Please register your interest by sending your CV to Luke Frost via the Apply Link on this page.

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Manchester, Greater Manchester
£30000 - £45000 per annum + Fun culture, Development and Training
  1. Permanent
  2. Data science

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Visit our Blogs & News portal or check out our recent posts below.

Harnham's Brush with Fame

Harnham have partnered with The Charter School North Dulwich as corporate sponsors of their ‘Secret Charter’ event. The event sees the south London state school selling over 500 postcard-sized original pieces of art to raise funds for their Art, Drama and Music departments. Conceived by local parent Laura Stephens, the original concept was to auction art from both pupils and contributing parents.  Whilst designs from 30 of the school's best art students remain, the scope of contributors has rapidly expanded and now includes the work of local artists alongside celebrated greats including Tracey Emin, Sir Anthony Gormley, Julian Opie, and Gary Hume.  In addition to famous artists, several well-known names have contributed their own designs including James Corden, David Mitchell, Miranda Hart, Jo Brand, Jeremy Corbyn, and Hugh Grant.  The event itself, sponsored by Harnham and others, will be hosted by James Nesbitt, and will take place at Dulwich Picture Gallery on the 15th October 2018.  You can find out how to purchase a postcard and more information about the event here. 

From Idea to Impact: How Charities Use Data

It’s that time of year again. As the festive season draws near and we pull together wish lists, many of us also begin to think about how we can give back. Given that the UK spent over £7 billion this Black Friday and Cyber Monday weekend, it’s not surprising that the idea of Giving Tuesday is becoming more and more popular.  But with 160,000 registered charities in the UK alone, institutions are turning to data to find new ways to stand out and make a greater impact.  Far from just running quarterly reports, charities are now utilising the insights they gain from data to inform their strategies, improve their services and plan for the future.  IDEAS Given that not every charity is lucky enough to go viral with an Ice Bucket Challenge style video, there is a need to find other ways to stand out in such a crowded market. As such, many are looking to the data they have collected to help create a strategy. 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To counter this they created an AI chatbot, named Alex, that allowed users to ask questions they may not have been comfortable asking a real person.  Another charity using data tools to counter common misconceptions is Dyslexia Association. Their Moment of Dyslexia campaign saw them utilise facial recognition technology; the longer a person looked at their digital poster, the more jumbled up the words and letters became. By harnessing both insights and the technology made possible by data, they were able to offer an insight into what dyslexia is like for people who previously didn’t understand.  INDIVIDUALS A big issue facing a number of charities is trust. Following a series of recent scandals, the public are more sceptical than ever of how charities are run, and their use of data is no exception. 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Whilst they were cleared of any wrongdoing by the ICO, this controversial use of data has had a negative impact on the charity’s image. With a decline in the number of people donating to charity overall, anything that can put people off further is bad news.  IMPACT Whilst there is more demand than ever for charities to share their impact data, there is also more opportunity. With Lord Gus O’Donnell urging charities to make data an ‘organisation-wide priority’, many are going beyond publishing annual reports and fully embracing a culture shift. Youth charity Keyfund have been able to justify how the spend their funds based on their impact data. Having heard concerns from fundraisers regarding whether their leisure projects were effective they looked at the data they had gathered from the 6,000 young people they were helping. 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