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Data Scientist

  • Location

    Cambridge, Cambridgeshire

  • Sector:

    BI, Big Data & Analytics

  • Job type:

    Permanent

  • Salary:

    £45000 - £65000 per annum

  • Contact:

    Alex Woodrow

  • Contact email:

    alexw@montash.com

  • Salary high:

    65000

  • Salary low:

    45000

  • Job ref:

    BI-PERM

  • Published:

    over 1 year ago

  • Expiry date:

    2017-02-15

  • Startdate:

    ASAP

Key Accountabilities

The successful candidate will deliver tangible value to customers through the development of ad-hoc and large-scale analytics solutions. This will be achieved by:

  • Provide high quality, ad-hoc and project-based analytics input to support the business
  • Establishing strong working relationships with business customers to develop an in-depth understanding of business priorities and early insight into changing needs in order to inform and shape demand
  • Developing a robust understanding of the data sources, in particular the data provenance, quality and structure
  • Support business exploitation of the 'Data Lake': identification of business priorities, developing relevant & efficient analytics strategies (data sources, queries, algorithm design), quality checking and delivering the output into a BI tool for consumption by end user(s)
  • Being the dedicated analytics support for specific customer area(s) with and having the ability to flex skills to support broader analytics needs in other areas within the team as needed e.g. GPPS, Finance, Compliance, HR, GMA
  • When required, taking on project management activities for small / medium sized analytics projects
  • Undertaking business analysis and business process analysis as part of solution design process
  • Testing and quality assessment of new tools and products
  • Be an active member of the EUG&G IT BI Analytics team which may include staff recruitment, strategy development, technology adoption, training provision etc.
  • Developing, maintaining and applying ongoing knowledge and awareness in trends, best practice and new developments in analytics and data science

The successful candidate will be required to demonstrate the following experience, capabilities and skills:

  • Data analytics experience, ideally in a pharmaceutical/commercial environment
  • Degree or MSc in Mathematics, Analytics, Data Science or Computing
  • Experience with, and knowledge of, BI packages (e.g. Business Objects, OBIEE, Spotfire, Lumira), databases and software engineering (e.g. Excel VBA, JavaScript D3, Oracle Apex, Python, PL/SQL, UNIX, XML processing, ETL tools)
  • Knowledge of statistics, predictive data modeling, hypothesis testing and decision support technologies (e.g. R, Spark, Scikit)
  • Knowledge of analytical techniques for deriving knowledge from unstructured text
  • Sufficient knowledge of the business area (or willingness to learn) such that the individual has credibility with the business and can work independently with relevant data sources, systems and tools to enable project progression
  • Ability to explain complex methods and techniques succinctly to a non-technical audience