Data Science Finance Intern

Key Skills

Analytical Techniques, Data Modeling, Linear regression, Machine learning techniques, Microsoft-Excel, PowerBI, Python Programming, Quantitative models, R Programming

Job Description

We are looking for university students to work at HP as a college intern during their 4th year study.

The Intern will be part of Customer Support Finance during 12 months, providing support to the new world wide digital tower.

Responsibilities:

• Apply statistical methods to analyze cost structure, find hidden patterns and build predictive models creating business value and innovation
• Experience building and interpreting machine learning models on real business data
• Visualize and interpret the results of analyses, and create strategy recommendations
• Develop and implement frameworks and processes for systematic data analysis
• Immerse yourself in very large data sets and complex problems
• Develop tools to ingest, merge, and clean datasets
• Works with project team to understand problem statements, initiates and direction.
• Assures accuracy, integrity, and compliance of cleansed data.
• Collaborates and communicates with project team regarding project progress and issue resolution and suggests changes or improvements
• Using statistics, mathematics, algorithms and programming languages

Education and Experience Required:

• MUST be a university student enrolled in a Bachelor's Degree with 1 full year left to graduation
• Degrees preferred: Financial Engineering and Computer Systems Engineering
• Nice to have experience: working with large data set, data engineering, creating data visualizations
• Desirable ability to build dashboards and other tools using front-end development skills

Knowledge and Skills Required:

• Scientific thinking and ability to design and critically analyze quantitative research
• Ability to think creatively about research problems and invent original solutions to modeling challenges
• Proficiency with R or Python is required
• Ability to build and interpret linear regression models, with machine learning experience a plus
• Strong analytical skills, with a high level of attention to detail
• Proficiency in Microsoft Excel and Microsoft Power BI