Data Science Intern (6 months)

Principal Malaysia; Kuala Lumpur; On-site; MYR 17,000 - 28,000; Full time

Job summary

Principal Malaysia invites motivated interns to join our Data team in Kuala Lumpur. You will work hands-on with financial datasets, build analytical models, and contribute to data-driven initiatives supporting our investment strategies.

You will collect and clean data, develop predictive models, perform EDA, and create dashboards to share insights with stakeholders, collaborating with data engineers, analysts, and investment professionals.

Qualifications

• Currently pursuing a degree in Finance, Accounting, Economics, Business, or a related field.
• Currently pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, Finance, or a related field.
• Proficient in Python or R; experience with SQL and data visualization tools is a plus.
• Familiarity with data science libraries such as pandas, NumPy, scikit-learn, and matplotlib.
• Understanding of statistical analysis, machine learning, or financial modeling.
• Strong analytical thinking and attention to detail.
• Excellent communication and collaboration skills.

Responsibilities

• Assist in collecting, cleaning, and structuring large datasets from internal systems and external sources.
• Support the development of predictive models and machine learning algorithms for investment and operational use cases.
• Conduct exploratory data analysis (EDA) to uncover trends, anomalies, and opportunities.
• Build and maintain dashboards and visualizations to communicate insights to stakeholders.
• Collaborate with data engineers, analysts, and investment professionals to solve real business problems.
• Document methodologies and contribute to knowledge sharing within the team.

Skills

Python

R

Analytical thinking

Attention to detail

Communication

Collaboration

Education

Pursuing Finance/Accounting/Economics/Business

Pursuing Data Science/CS/Statistics/Math/Finance

Tools

Power BI

Tableau

SQL

pandas

NumPy

scikit-learn

matplotlib

Job description

At Principal, we invest in what matters. And building talented teams is where it all begins. We’re drawn to people who bring unique perspectives, passion, and expertise to help us advance the financial security and well-being of our customers, transform our growing business, and drive positive change in the communities where we live and work.

When we invest in you, and you invest in us, great things happen.

We are looking for an Intern to join our Data team in Malaysia. This role offers hands-on experience working with financial datasets, building analytical models, and contributing to data-driven initiatives that support the firm’s investment strategies.

What You'll Do

• Assist in collecting, cleaning, and structuring large datasets from internal systems and external sources.
• Support the development of predictive models and machine learning algorithms for investment and operational use cases.
• Conduct exploratory data analysis (EDA) to uncover trends, anomalies, and opportunities.
• Build and maintain dashboards and visualizations to communicate insights to stakeholders.
• Collaborate with data engineers, analysts, and investment professionals to solve real business problems.
• Document methodologies and contribute to knowledge sharing within the team.

Who You Are

• Currently pursuing a degree in Finance, Accounting, Economics, Business, or a related field
• Currently pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, Finance, or a related field.
• Proficient in Python or R; experience with SQL and data visualization tools (e.g., Power BI, Tableau) is a plus.
• Familiarity with data science libraries such as pandas, NumPy, scikit-learn, and matplotlib.
• Understanding of statistical analysis, machine learning, or financial modeling.
• Strong analytical thinking and attention to detail.
• Excellent communication and collaboration skills.

Who We Are

Principal Financial Group is a Fortune 500 global leader in financial services focused on insurance, retirement, and asset management. We have 18,000 employees and 51 million customers around the world with over $714B in assets under management.