Data Scientist, Intern - MoneyLion

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Job Title

Data Scientist, Intern

Job Location

Kuala Lumpur, Kuala Lumpur, Malaysia

Job Listing URL

https://www.moneylion.com/careers-apply?gh_jid=4824935004

Job Description

MoneyLion is a leader in financial technology powering the next generation of personalized products and content, with a top consumer finance super app, a premier embedded finance platform for enterprise businesses and a world-class media arm. MoneyLion’s mission is to give everyone the power to make their best financial decisions. We pride ourselves on serving the many, not the few; providing confidence through guidance, choice, and personalization; and shortening the distance to an informed action.

In our go-to money app for consumers, we deliver curated content on finance and related topics, through a tailored feed that engages people to learn and share. People take control of their finances with our innovative financial products and marketplace - including our full-fledged suite of features to save, borrow, spend, and invest - seamlessly bringing together the best offers and content from MoneyLion and our 1,100+ Enterprise Partner network, together in one experience. MoneyLion’s enterprise technology provides the definitive search engine and marketplace for financial products, enabling any company to add embedded finance to their business, with advanced AI-backed data and tools through our platform and API. Established in 2013, MoneyLion connects millions of people with the financial products and content they need, when and where they need it.

About The Role

The Kuala Lumpur office is the technology powerhouse of MoneyLion. We pride ourselves on innovative initiatives and thrive in a fast paced and challenging environment.

We are looking for a data science intern to join our multicultural team of visionaries and industry rebels in disrupting the traditional finance industry!

Key Responsibilities

Perform analyses to understand how our users interact with our products and how to improve our products.
Discover new insights and understanding of business performance based on data
Develop dashboards to track relevant metrics.
Assist with regular maintenance/BAU operations within the data science team.
Assist with prototyping and exploring new machine learning initiatives in MoneyLion.
Communicate findings to stakeholders in a clear and concise manner.

About You

Currently pursuing a technical degree in a quantitative field, such as computer science, mathematics, or actuarial science.
Proficient in either R, Python, Matlab or other analytics/data mining packages.
Experience in machine learning, predictive analytics and statistical modelling, in academic and/or industry settings.
Fast learner with an ability to problem-solve independently.
Good written and verbal communication skills, with high attention to detail.
Available for at least 4 months of internship.

What's Next...

After you submit your application, you can expect the following steps in the recruitment process:

Online Technical Test
Take-Home Assessment
Interview & Discussion of Take-Home Assessment - Hiring Manager (Virtual or face-to-face)

*If you’ve already sent in your application for this position and were not selected, please re-apply after 6 months.*

What We Value

We value growth-minded and collaborative people with high learning agility who embody our core values of teamwork, customer-first and innovation. Every member of the MoneyLion Pride is passionate about fintech and ready to give 100% in helping us achieve our mission.

Working At MoneyLion

At MoneyLion, we want you to be well and thrive. Our generous benefits package includes:

Competitive salary packages
Comprehensive medical, dental, vision and life insurance benefits
Wellness perks
Paid parental leave
Generous Paid Time Off
Learning and Development resources
Flexible working hours

MoneyLion is committed to equal employment opportunities for all employees. Inside our company, every decision we make regarding our employees is based on merit, competence, and performance, completely free of discrimination. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Within that team, no one will feel more “other” than anyone else. We realize the full promise of diversity and want you to bring your whole self to work every single day.

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