Data Science Intern

At MGIC, we take pride in knowing that what we do matters. As pioneers of private mortgage insurance, we help people achieve homeownership sooner - making affordable low-down-payment mortgages a reality. Our efforts have helped more than 14 million people get the keys to their own homes sooner than otherwise possible. Every position is critical to our company's success - from the analytical to the technical; from the innovative to the operational. The customer-facing roles to behind-the-scenes experts, we're all part of one team. We're an organization with a national footprint that's large enough to never lack for a new challenge, but small enough for an opportunity to make an impact and influence decisions. Come make a difference at MGIC.

How will you make an impact?

As a Data Science Intern, you will be a member of our MiLo Labs, MGIC’s data science team, to build and refine a strategy for a state-of-the-art data and analytics solution while working across the business to deliver a new level of analytics capabilities using new advanced tools, data and technologies.

• Collaborate with Data Scientists and Data Engineers to conduct and design quantitative analytics utilizing both structured and unstructured data.
• Conduct assessments of data and analytics framework identifying strengths and limitations.
• Collaborate with business decision makers and data scientists to develop and/or deploy computational approaches to business processes
• Design and build tools for data logging and repeatable tasks that will accelerate and automate data scientist duties
• Work to standardize development and use of computational services while providing communication and education for those services to the end user communities
  
  

Do you have what it takes?

• Education background in Computer Science, Quantitative Analytics, Statistics, Data Science or STEM (Science, Technology, Engineering and Math).
• Current undergraduate student in your freshman or sophomore year
• Interdisciplinary knowledge, including mathematics, statistics, and programming
• Experience with data query and manipulation using SQL
• Basic knowledge in data and development tools/languages such as R, Python, Java, C .
• Experience working with systems of collaborative code reviews, version control like Git, GitLab, GitHub
  
  

You might be a good fit if you like to:

• Thrive in a collaborative environment
• Listen to others and help solve their problems
• Be creative and think outside of the box
• Work and communicate with others, both technical and non technical
• Learn and understand new technologies
• Multitask and manage changing priorities
  
  

What you can learn on the job:

• Mortgage Industry knowledge and terminology
• MGIC policies, processes, and procedures
• Cloud technologies
• Data science processes and standards
  
  

Pay Range:

$37,830.00 - $56,750.00

This range aligns with current market data and reflects our commitment to competitive and equitable compensation. Salary offers are based on factors such as experience, skills, education, and training. The range may vary in certain locations to reflect local market conditions. It is not typical to initiate pay at the top of the range to account for internal equity and allow for future and continued salary growth

Enjoy these benefits from day one:

• Competitive Salary & pay-for-performance bonus
• Financial Benefits (401k with company match, profit sharing, HSA, wellness program)
• On-site Fitness Center and classes (corporate office)
• Paid-time off and paid company holidays
• Business casual dress
  
  

For additional information about MGIC and to apply, please visit our website at www.mgic.com/careers.

Note to all recruitment agencies:

MGIC does not accept unsolicited agency resumes. Any unsolicited resumes sent to MGIC, directly or indirectly, will be considered MGIC property. MGIC is not responsible for any agency fees associated with unsolicited resumes. A recruiting agency must have a valid, written and fully executed agency agreement to assist with a requisition.