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Product Data Scientist at Thunes | Singapore

ThunesSingapore, Central, Singapore
On-site Full-time

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Experience Level

Experience

Qualifications

We are looking for candidates with: A strong background in data science and product development Experience in building predictive models and data-driven solutions Proficiency in programming languages such as Python or R Familiarity with machine learning frameworks and statistical analysis Excellent problem-solving skills and the ability to work collaboratively Strong communication skills to convey complex ideas effectively A proactive attitude towards continuous learning and improvement

About the job

About Thunes

Thunes is revolutionizing the way money moves globally with our cutting-edge Smart Superhighway. Our proprietary Direct Global Network empowers Members to conduct real-time payments across more than 130 countries and over 80 currencies.

With direct connections to over 7 billion mobile wallets and bank accounts, Thunes offers a diverse range of over 350 payment methods, including GCash, M-Pesa, Airtel, MTN, Orange, JazzCash, Easypaisa, AliPay, WeChat Pay, and many more.

Our esteemed Members include major players in the gig economy, such as Uber and Deliveroo, super-apps like Grab and WeChat, as well as MTOs, fintechs, PSPs, and banks. Thunes stands out due to its global reach, innovative Smart Treasury Management Platform, and robust Fortress Compliance Infrastructure, which together ensure that our Members benefit from unparalleled speed, control, visibility, protection, and cost-efficiency in their real-time payments worldwide.

Headquartered in Singapore, we have established offices in 12 key locations, including Barcelona, Beijing, Dubai, London, Manila, Nairobi, Paris, Riyadh, San Francisco, Sao Paulo, and Shanghai. For more information about our services, visit: https://www.thunes.com/

Role Overview

We are seeking a passionate and driven Product Data Scientist with a robust full-stack skill set, enthusiastic about developing and enhancing predictive engines that support our rapidly growing fintech. In this role, you will bridge the gap between data science, product strategy, and business results, adopting a startup mentality while adhering to the rigorous standards of a regulated financial institution.

Your responsibilities will extend beyond ensuring model accuracy; you will oversee the complete lifecycle of predictive capabilities, from defining metrics to model design, validation, and seamless production deployment and ongoing refinement. It is critical that the models you create are not only technically sound but also robust, explainable, fair, and trusted by the business.

In this position, you will design and implement our primary predictive capabilities that have a direct impact on service quality, liquidity management, risk assessment, and operational decision-making. Collaborating proactively with diverse stakeholders, you will transform ambiguous business challenges into scalable data products, ensuring that predictions are actionable, measurable, and integrated into real workflows. You will define key success metrics, challenge existing assumptions, and continually enhance models based on feedback from the business and evolving market dynamics.

About Thunes

Thunes is a pioneering fintech company that provides a Smart Superhighway for money movement around the globe, facilitating real-time payments across a vast network of countries and currencies. Our innovative platform connects millions of users and businesses, ensuring efficient and secure transactions in the digital economy.

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