Data Analytics Intern

Looking to jumpstart your career at a company that offers real opportunities to flourish?

Look no further than Pacific Life. We’re investing in bright, agile new talent with fresh perspectives to help us innovate and build meaningful relationships for years to come. We are currently looking to add Data Analytics Interns to our team for Summer 2025 at a Fortune 500 company in the financial services industry.

As a Data Analytics Intern, you will play a key role in developing a more data-driven culture at Pacific Life. Interns will use industry-leading tools such as Python, R, Sales Force, and Alteryx to help solve real-world business problems. They will be paired with various business units (such as predictive analytics, actuarial, IT, customer experience, etc.) to provide technical expertise while learning more about the business. If you are passionate about data, you’re exactly who we’re seeking!

Data Analytics Interns - What You’ll Do:

• Analyze data to provide insights to the business.
• Communicate research findings and opportunities to the team to guide next steps.
• Manage and create datasets and reports.
• Data visualization through dashboards with tools such as R Shiny, Tableau, and others.

Factors for Success:

• Currently enrolled in a Bachelor’s or Master’s Degree in Computer Science, Data Science, Software Engineering, Information Technology, Mathematics, Economics, Business, Machine Learning, Applied Mathematics, Statistics, or another quantitative field.
• Strong analytical, problem-solving, and organizational skills.
• Excellent communication skills, the ability to multitask, prioritize work, take initiative, and be self-sufficient with responsibilities.
• Ability to work well with others as a team and independently.
• Desire for learning new technologies and analytic tools; as well as modeling and quantitative techniques.
• Experience in programming – any language.
• Familiarity with industry tools and platforms such as Alteryx, Python, R, AWS, SAS, SQL, and Tableau.
• Demonstrated skills of machine learning, database systems, modeling, and software scripting tools used in data science or other applied technology skills.
• Display a true passion and intellectual curiosity for data science via coursework, external activities, or some combination of both.