High Performance Computing & Data Scientist - Hp - City of London - Wizbii

High Performance Computing & Data Scientist

  • By Hp
  • City of London (United Kingdom)
  • Mathematics / Statistics
2018-08-11T08:33:37+0000

Job description

Job ID 1024556 Date posted 8/2/2018 Primary Location London, England, United Kingdom Job Category Services Schedule Full time Shift No shift premium (United Kingdom)

Hewlett Packard Enterprise creates new possibilities for technology to have a meaningful impact on people, businesses, governments and society. HPE brings together a portfolio that spans software, services and IT infrastructure to serve more than 1 billion customers in over 170 countries on six continents. HPE invents, engineers, and delivers technology solutions that drive business value, create social value, and improve the lives of our clients.

Learning does not only happen through training. Relationships are among the most powerful ways for people to learn and grow, and this is part of our HPE culture. In addition to working alongside talented colleagues, you will have many opportunities to learn through coaching and stretch assignment opportunities. You’ll be guided by feedback and support to accelerate your learning and maximize your knowledge.

HPE Pointnext works to streamline innovation and simplify IT with superior solutions. HPE Pointnext supports our customers with the transformation and integration of their technology. We are there for our customers – come join us!

What do we offer?

Exciting large scale leading edge projects, a competitive salary plus benefits and shared values, make Hewlett Packard Enterprise one of the world´s most attractive employers. At HPE our goal is to provide equal opportunities, work-life balance, and constantly evolving career opportunities.

The Team

Members of the HPC and data science team will assist with data science professional service projects and will help to build & grow the practice that assists enterprise customers with the following:

·  Designing, redesigning and/or re-platforming high performance compute and IoT platforms to the Azure cloud and ancillary services. The target Azure technologies will include (but will not be limited to):

- IoT hub

- Stream analytics

- Service fabric

- Functions

- Data lake

- SQL and data warehouse

- Data lake storage and analytics

- Key vault

·  Working with customers to assist or run projects
·  Working with the RedPixie Azure Managed Solutions team to handover RedPixie implemented
·  platforms for the team to support
·  Assist customers with the design and build of the target Azure platforms
·  Focus on building data science solutions in Azure using the best services Azure has to offer (e.g.
·  machine learning, AI and cognitive)
·  Working with the RedPixie Azure Managed Solutions team to handover RedPixie implemented
·  platforms for the team to support
·  Assist customers with the design and build of the target Azure platforms
·  Focus on building data science solutions in Azure using the best services Azure has to offer (e.g.
·  machine learning, AI and cognitive)

Members of the team will be expected to have:

·  A working knowledge of, or the ability to learn about, the architectural patterns and practices required
·  to build solutions using the aforementioned cloud services
·  A working knowledge of a variety of machine learning models
·  Familiarity with some statistical software ideally one or more of:
·  R, Python, SAS, SPSS, MATLAB
·  Proficiency in one or more programming, scripting or statistical languages
·  The ability to define solution architectures as code in Azure Resource Manager templates

The ideal candidate will have a high degree of technical ability and also:

·  Some exposure to the described technologies and services and is able and willing to rapidly learn about
·  new technologies
·  Good customer facing consulting skills
·  Good presenting skills
·  Ability to produce high quality documentation Hewlett Packard Enterprise is EEO F/M/Protected Veteran/ Individual with Disabilities.

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