Data Science Intern

Sorry, this job was removed at 04:28 p.m. (CST) on Tuesday, May 19, 2026
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The City of Angels, Bangkok, THA
In-Office
Financial Services
The Role

About UOB

United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values – Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.

Job Description

Job Summary:**
UOB (Thai) Public Company Limited is seeking a Data Science Intern to join our innovative team. This role offers an exciting opportunity to apply data science principles to real-world financial challenges, contributing to data-driven decision-making and enhancing customer experiences.
Job Responsibilities:**
* Assist in collecting, cleaning, and preprocessing large datasets from various sources.
* Support the development and implementation of machine learning models for tasks such as predictive analytics, customer segmentation, and fraud detection.
* Perform exploratory data analysis to identify trends, patterns, and insights.
* Contribute to the creation of data visualizations and reports to communicate findings effectively.
* Collaborate with senior data scientists and other business units to understand requirements and deliver data-driven solutions.
* Research and evaluate new data science techniques, tools, and technologies.
* Document data processes, models, and analytical findings.
Job Qualifications:**
* Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
* Strong foundational understanding of statistical concepts and machine learning algorithms.
* Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
* Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) is a plus.
* Basic knowledge of SQL for data querying.
* Excellent analytical and problem-solving skills.
* Ability to communicate technical concepts clearly and concisely.
* Proactive, curious, and eager to learn in a fast-paced environment.
* Prior internship experience or personal projects in data science are advantageous.

Additional Requirements

Develop, Engage, Execute, Strategise

Be a Part of the UOB Family

UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.

Apply now and make a Difference

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The Company
25,000 Employees
Year Founded: 1935

What We Do

We’re here to do Right By You. At UOB, we aspire to build a better future for the people and businesses in the region. Through our extensive network and suite of capabilities, we offer financial solutions to the people and businesses within, and connecting with ASEAN. We create solutions tailored to your unique needs through data and relationship-led insights. Our comprehensive regional network and one-bank approach connects your business to new opportunities in ASEAN. We help businesses to advance responsibly and guide personal wealth to grow sustainably. We foster inclusiveness and environmental well-being for stronger societies. This is how we stay committed to forging a sustainable future for generations to come. Note: For the terms of use of our LinkedIn channel, please visit: https://go.uob.com/socialmedia

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