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Data Scientist

  • Location:

    London

  • Sector:

    Office Support, PR, Marketing & Digital

  • Job type:

    Temporary

  • Salary:

    £37 - £40 per hour

  • Contact:

    Shae Stacey-Parchment

  • Contact email:

    shae@careermovesgroup.co.uk

  • Contact phone:

    219 758 4300

  • Job ref:

    BH-38386

  • Published:

    25 days ago

  • Duration:

    6 months

  • Expiry date:

    2020-07-15

  • Startdate:

    2020-06-16

Role:
  • Constructs predictive models, algorithms and probability engines to support data analysis or product functions
  • verifies model and algorithm effectiveness based on real-world results.
  • Designs experiments and methodologies to generate and collect data for business use. Projects may include a focus on “quantitative finance” or help identify new business opportunities.
  • Uses advanced mathematical and statistical concepts and theories to analyze and collect data and construct solutions to business problems.
  • Performs complex statistical analysis on experimental or business data to validate and quantify trends or patterns identified by business analysts.

Skills:
  • BSC degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent practical experience.
  • 2 years of relevant work experience (e.g., as a data scientist), including experience applying advanced analytics to business problems
  • Proficiency in SQL
  • Experience with Python or R, as well as big data systems such as Hive
  • Understanding of key user life cycle concepts (acquisition, engagement, retention, monetisation) and experience with funnel analysis and A/B tests.
  • Excellent problem-framing, problem-solving and project management skills.
  • Experience framing and articulating important product questions, selecting the right statistical tools and visualisations to obtain answers from data, translating them into business recommendations
  • Excellent communication skills: written, verbal, powerpoint presentations.
  • Experience working with cross functional teams: product managers, engineers, researchers, marketers.