Data Science Intern

Data Science Intern

This role has been designed as 'Hybrid' with an expectation that you will work on average 2-3 days per week from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work.

We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.

Our culture thrives on finding new and better ways to accelerate what's next.

We know diverse backgrounds are valued and succeed here.

We have the flexibility to manage our work and personal needs.

We make bold moves, together, and are a force for good.

If you are looking to stretch and grow your career our culture will embrace you.

Open up opportunities with HPE.

Job Description:

Job Family Definition:

Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g.

advanced statistics, operations research, computer science, process) to transform structured and unstructured data into meaningful and actionable information insights that drive decision making.

Uses visualization techniques to translate analytic insights into understandable business stories (eg.

descriptive, inferential and predictive insights).

Embeds analytics into client's business processes and applications.

Combines business acumen and scientific methods to solve business problems.

The Data Scientist Intern will apply basic knowledge of the job skills and company policies and procedures to be part of the analysis and validation of data sets, solutions, and the end-user experience.

This intern will aid in the development, enhancement, and maintenance of a client's metadata based on analytic objectives.

This intern will load data into the infrastructure and contribute to the creation of the hypothesis matrix and prepare a portion of the data for the Exploratory Data Analysis (EDA)/hypotheses.
Develop thorough understanding of the general/technical aspects of the job.

Works on assignments that are routine to moderately complex in nature and require ordinary problem resolution, such as contribute to building models for the overall solution, validating results and performance, and selecting the model that supports the overall solution, will support the research, identification, and delivery of data science solutions to problems.

And will support the visualization of the model's insights, user experience, and configuration tools for the analytics model.

Receives general instructions on all work.

Works under limited supervision and normally receives no instruction on routine work and general instructions for new assignments.

Additional Skills:

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Persona...