ADVANCE.AI Hiring! Full Time Intern in - Ricebowl

About Advance Intelligence Group

Headquartered in Singapore, Advance Intelligence Group a Series D-backed Tech Unicorn valued at US$2 billion, and also one of the largest independent technology startups based in Singapore. Founded in 2016, the Group has over 2000+ employees and has presence across South and Southeast Asia, Latin America and Greater China serving 700+ enterprise clients, 150,000+ merchants and 30 million+ consumers. The Group is backed by top tier investors SoftBank Vision Fund 2, Warburg Pincus, Northstar, Vision Plus Capital, Gaorong Capital, Pavilion Capital, GSR Ventures and Singapore-based global investor EDBI. We are also ranked among LinkedIn's Top 15 Startups in Singapore in 2022 - the third year in a row we've been on the list.

We serve enterprises, consumers and merchants through our key Business Units:

• ADVANCE.AI is a leading big data and AI company providing digital transformation, fraud prevention and process automation solutions for enterprise clients in banking, fintech, retail and e-commerce.
• Atome Financial offers consumers greater financial access through technology with its suite of products including Atome, a leading "buy now pay later" brand, and digital lending services such as Kredit Pintar in Indonesia.
• Ginee is a leading e-commerce merchant services technology platform serving numerous markets in Southeast Asia; providing comprehensive digital solutions for e-commerce, retail, brand and enterprise customers.
  
  

We are united by a shared vision and purpose: to Advance with Intelligence for a Better Life--for our customers, colleagues and communities.

Our culture is built on values that are core to who we are and what we stand for:

• We foster an INNOVATION mindset
• We achieve results with EFFICIENCY and excellence
• We take pride in the QUALITY of our work
• We uphold INTEGRITY in all we do
• We embrace COLLABORATION to work across business lines and borders
  
  

About The Role

We are looking for a highly motivated Data Science Product Intern to support the development, testing, and optimisation of next-generation AI-powered financial products and user intelligence systems.

This role sits at the intersection of:

• data science,
• product analytics,
• AI systems,
• behavioural modelling,
• and product operations.
  
  

You will work closely with the Head of Product to analyse user behaviour, improve platform intelligence, optimise trading-related workflows, and support the development of AI-driven recommendation and automation systems.

Key Responsibilities

• Product Intelligence & User Analytics
• Analyse platform usage data and user behaviour patterns
• Identify trends that improve user engagement, retention, and product performance
• Support the development of recommendation systems and behavioural insights models
• Assist in measuring product effectiveness using performance and engagement metrics
• Signals & Recommendation Systems
• Support research and testing of data-driven recommendation frameworks
• Help evaluate the effectiveness of various signal and ranking systems
• Assist in improving product personalisation and user-product matching
• Conduct basic analysis on historical performance data and behavioural outcomes
• AI Systems & Automation
• Support the development and optimisation of AI-powered automation systems
• Assist in training and refining AI models and workflow logic
• Help structure datasets and improve data quality pipelines
• Work with internal teams to test and validate AI-generated outputs
• Product Testing & Workflow Optimisation
• Assist in testing platform features and user journeys
• Identify friction points, inconsistencies, or usability issues
• Provide structured feedback from a product and data perspective
• Support cross-functional coordination across product, operations, and analytics teams
  
  

What We’re Looking For

• Strong analytical and problem-solving skills
• Interest in AI, data science, fintech, trading, or recommendation systems
• Comfortable working with datasets, spreadsheets, and structured information
• Strong communication and organisational ability
• Curious, detail-oriented, and eager to learn in a fast-paced startup environment
• Bonus: familiarity with Python, SQL, trading platforms, LLMs, or data visualisation tools
  
  

What You’ll Gain

• Hands-on exposure to real-world AI and data science workflows
• Experience working on recommendation systems and intelligent product infrastructure
• Exposure to fintech and digital asset product environments
• Opportunity to contribute directly to AI-native product development
• Fast learning environment with direct mentorship from experienced operators across product, strategy, and technology