Data Scientist, Intern - MoneyLion

4 мес. назад

MalaysiaWorldwideTraineeOnsite

data analysispythonmachine learning

Internship role in data science at 's MoneyLion Kuala Lumpur office focused on innovative data initiatives.

Обязанности

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! This internship will be 6 months long, starting June 2026 to December 2026. Kindly note that this internship is only open to Malaysians, with final year students preferred.

Требования

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.

Другое

Gen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast, LifeLock, MoneyLion and more. Our combined heritage is rooted in financial empowerment and cyber safety for the first digital generations, and today we deliver award-winning cybersecurity, online privacy, identity protection and financial wellness solutions to nearly 500 million users in more than 150 countries.
Together, we share a collective passion and vision to protect consumers and help them grow, manage and secure their digital and financial lives. We’re always looking for smart, fearless and high-impact talent who see AI as a teammate – leveraging it to move faster and deliver meaningful results.
When you’re part of Gen, you’ll have the flexibility, tools and support to do your best work and grow your career.
At Gen, we are scrappy and relentlessly customer driven. We create room for healthy debate, experimentation and continuous learning, and we seek out people with different experiences, identities and ideas to join our team. You’ll work with people who back each other, respect each other and understand that our differences are a competitive advantage.
If this sounds like you, we’d love you to be part of Gen.
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, 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
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.
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)
Gen is an equal opportunity employer , and we’re committed to fair, inclusive practices at every stage of the candidate and employee journey. Employment decisions are based on merit, experience and business needs.