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Data Scientist

  • Location

    City of London, London

  • Sector:

    BI, Big Data & Analytics

  • Job type:

    Contract

  • Salary:

    £450 - £550 per day + negotiable

  • Contact:

    Adam Smallwood

  • Contact email:

    adams@montash.com

  • Salary high:

    550

  • Salary low:

    450

  • Job ref:

    DSLDN_1409916208

  • Published:

    over 3 years ago

  • Duration:

    6 Months

  • Expiry date:

    2014-10-05

  • Startdate:

    ASAP

Data Scientist

Montash have been engaged by a Global Financial Services Organisation to source and secure a Data Scientist to join their advanced analytics team. The successful candidate will be highly experienced in statistical, mathematical and predictive modelling as well as a range of tools from SAS (Model Manager and Enterprise Miner) to Hadoop and Teradata. The Data Scientist will have the following responsibilities:

  • Use a range of statistical techniques to answer a host of product questions
  • Communicate findings to both business and IT stakeholders
  • Drive the collection of new data and the refinement of existing data sources.
  • Utilise product experiment data for in-depth analysis
  • Develop best practices for instrumentation and experimentation and communicate those to product engineering teams.

SKILLS AND REQUIREMENTS

  • MSc in an appropriately mathematical discipline
  • 5+ years' experience working with large amounts of real data.
  • Expertise in applied statistics, including regression models.
  • Able to translate business objectives into actionable analyses.
  • Expertise in statistical software packages, preferably R.
  • Highly experienced in SAS, SQL & Python
  • Oracle Database & Informatica experience

This is an urgent requirement for a Data Scientist to join a Global Financial Services Organisation, please submit your CV for a confidential conversation.

Key Skills: "Data Scientist" / "Data Analyst" / "Analytics" / "Data Analysis" / "Hadoop" / "Big Data" / "Python" / "SQL" / "SAS" / "Hadoop" / "Teradata" / "r" / "Predictive Modelling" / "Informatica"