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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
IT
48-57k per annum
Cloudstream
Kat Pastuszka
JSDATA SCIENTIST
18/11/2019 07:02:15

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