Hewlett Packard Enterprise (HPE) is looking for a Data Science Intern to help transform structured and unstructured data into meaningful and actionable information insights that drive decision making. The role involves embedding analytics into client's business processes and applications by combining business acumen and scientific methods to solve business problems.
Requirements
- Basic knowledge of data science methodologies.
- Basic understanding of business requirements and data science objectives.
- Basic data mapping, data transfer and data migration skills.
- Basic understanding of analytics software (eg. R, SAS, SPSS, Python).
- Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (eg. Informatica, Ab Initio, Talend).
- Basic data knowledge of relevant data programming languages.
- Basic knowledge of data visualization techniques.
Responsibilities
- 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.
- Participates in the analysis and validation of data sets/solutions/user experience.
- Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives.
- May load data into the infrastructure and contributes to the creation of the hypothesis matrix.
- Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses.
Other
- Working towards a Bachelor's and/or Master's degree with a focus in Data Science, Computer Science, Computer Engineering, Software development, or other IT related field.
- Basic communication and presentation skills.
- This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office.
