The Data Scientist will provide data-driven insight and recommendations to drive commercial value and to enable a wide range of strategic business decision processes. This will be achieved by developing, implementing, and managing models to optimise our sourcing approach, drive business growth, reduce waste and support automation across all areas of the business.

This role will work in collaboration with both internal and external stakeholders to provide statistical data expertise and support the ongoing demand to deliver business insight and opportunities.

Success in this role will require understanding and influencing business priorities and growing data science as a capability within ClarusONE and the Analytics team.



  • Ability to work across the development lifecycle from prototype to production of ML models to resolve business issues.

  • Apply various analytical techniques, statistical algorithms and machine learning techniques to support business development & growth.

  • Provide deep dive into specific business area and translate data into actionable insight e.g. drawing actionable insights and explaining in a tailored way to your audience.

  • Conduct analysis across a data set to simulate scenarios and apply different business models.

  • Serve as a subject matter expert on statistical analysis and communicate technical results effectively to a variety of audiences, including those with a non-technical background.

  • Sharing learning and insights across multiple levels and multiple business units.

  • Spread the use of data science throughout the organisation and champion the use of ClarusONE data and information assets.

  • Present and defend complex ideas and recommendation to various level in the organisation.

  • Demonstrate the ability to independently and quickly identify solutions to complex problem.

  • Work with wider Analytics team to define new data sources or improving existing ones and on other topics.

  • Develop and maintain strong relationships with key stakeholders, partners and internal clients.

(The above statements describe the general nature and level of work being performed in this job. They are not intended to be an exhaustive list of all duties.)

The Sourcing Analyst will support generic pharmaceutical sourcing activities for ClarusONE and its members.  Daily sourcing activities include portfolio and system maintenance, pricing review, and inventory management.  The analyst will also be responsible for gathering information, performing product and supplier research and analysing data to prepare recommendations for product and supplier sourcing.



  • Masters Degree or Phd in a Mathematics related field

  • Minimum of 2 years of experience in Data Science


  • Hands on experience with analytics packages (Python or R preferred) and application of modelling techniques and machine learning.

  • Strong level and experience in data query language/tools (e.g. SQL, Alteryx).

  • Experience with database technologies and concepts (Oracle, Teradata, SAP HANA, DB2, PostGres, SQL Server).

  • Good general business acumen.

  • Additional Knowledge & Skills

  • Experience with visualisation tools such as Tableau, Qliview, SAS, Business Objects & Power BI.

  • Strong experience of Excel with skills in V-lookups, pivot tables, reporting and macro programming.

  • Experience with Big Data Technologies.

  • Experience with data performance optimisation.

  • Experience of Life Sciences/Pharmaceutical desirable.

  • Desire to work in a project based environment to address business issues and implement. business solutions.

  • Driven by making impact with technical and data science expertise, acute strategic and analytical skills; highly organized with the ability to multitask and prioritise workload.

  • Self-motivated, demonstrated ability to manage engagements, serve as a champion of Data Science and able to act as a full member of project team.

  • Experience in applied analytics for business problem solving: analytics solution for pricing, loyalty program effectiveness, customer segmentation, customer LTV maximisation, cost and profit analysis, CRM management etc.

To apply, please send your CV and covering letter to