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IBM Application – Data Scientist

IBM

Job Description:

As a Data Scientist at IBM, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it’s investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.

Job Responsibilities:

  • Design data analytics solutions from classic data warehousing, data lake to big data solutions and hybrid platforms considering cloud and on prem
  • Ability to create conceptual, logical and physical data models and define standards, principles and methods to guide the development of those models
  • Leverage insights of NHS data, taxonomies, governance requirements and interoperability standards to integrate approach
  • Execute data strategy engagements by understanding the client’s overall business strategy and requirements and being able to translate this into a data strategy
  • Engage and inspire our teams and our clients to shape and deliver technology transformation across health based on a track record of success in services work across the health and life sciences sectors

Job Requirements:

  • Track record of developing and sustaining senior client relationships across the health and/or life sciences sectors to enable initiation and delivery of projects
  • Ability to identify, attract, supervise and nurture junior talent

Qualification & Experience:

  • Experience working within a highly- matrixed organisation and able to influence and drive change in such an environment including experience leveraging virtual teams to deliver at scale and pace
  • Experienced in digital transformation and change management involving clinicians, nurses and allied health professionals

Job Details:

Company: IBM

Vacancy Type: Full Time

Job Location: Manchester, England

Application Deadline: N/A

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