Data Science Intern

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