Skip to content


London - 48-57k per annum Permanent Posted: Monday, 18 November 2019
Applicants must be eligible to work in the specified location

Data Scientist - Leading Utilities Company

Cloudstream Global are currently working with a leading Utilities company, specifically assisting them on their IT transformation. They require a data SME with a passion for data science, big data and the ability to create complex algorithms and working across a number of key data related projects within a highly intelligent team.

Location: London

Job type: Permanent

Salary: 48-57k per annum

Data Scientist key daily duties:

  • Design and create complex algorithms, build models, and prototype solutions for multiple projects and stakeholders within a global organisation working towards business and consumer insight
  • You will be versed in using machine learning and large-scale data mining techniques to discover and identify actionable patterns in data and develop hypotheses and models
  • You will help design hypothesis tests, oversee execution, and perform rigorous statistical evaluation of the results to produce actionable insights
  • Manage stakeholders and guide them in unlocking the value in their data
  • You should champion the scientific method and strive for excellence in results at all times, balanced with working in an Agile' way to achieve rapid turnaround

Data Scientist required experience:

  • Demonstrated experience using technology such as R, Python or similar to analyse, transform and visualize big data
  • Ability to build models (such as linear regression, logistic, Markov models etc.)
  • Focus, resilience and a passion for problem solving.
  • Able to easily continue to find solutions and work towards goals when setbacks occur
  • Strong knowledge of data/analytical tools, including Excel, database querying (SQL), relational databases; aptitude and willingness to learn new tools quickly
  • Hands-on use of big data in large and complex projects using Hadoop, Spark would be a plus

Work Experience and Education Guidelines:

  • Degree in Statistics, Mathematics, Data Science, Engineering, Economics, or similar
  • Experience in a role focused on statistical modelling, econometrics, marketing attribution, data science or similar
  • Passionate about data, models and visualizations
  • Excellent problem-solving skills, self-motivated with the capacity to work under pressure and tight deadlines

London, UK
48-57k per annum
Kat Pastuszka
18/11/2019 07:02:15

We strongly recommend that you should never provide your bank account details to an advertiser during the job application process. Should you receive a request of this nature please contact support giving the advertiser's name and job reference.

Other jobs like this

£50k - 60k per annum, Benefits: Flexible Working,
£40k - £50k per annum
City of London
Up to £50k per annum
Reading, Berkshire
£45k - 55k per annum
Reading, Berkshire
£60k - 65k per annum
See more