Summer Internship 2026 - Data Scientist at NTUC INCOME INSURANCE COOPERATIVE LIMITED
, , Singapore -
Full Time


Start Date

Immediate

Expiry Date

31 Mar, 26

Salary

0.0

Posted On

31 Dec, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Supervised ML Models, Unsupervised ML Models, Linear Regression, Logistic Regression, Clustering, Tree-Based Models, Random Forest, Bagging, Boosting Models, Feature Engineering, Hyperparameter Tuning, Model Evaluation, Python, SQL, Data Science Frameworks, Visualization Libraries, Generative AI Techniques

Industry

Insurance

Description
Responsibilities: Work with senior data scientists to explore, pre-process and analyse datasets to derive new insights. Contribute to relevant business presentations for senior management to walkthrough the analytics solution & insights. Work with fellow data scientists, data engineers and central tech team to deploy the solution in production. Liaise and support business stakeholders throughout the project lifecycle. Follow software development best practices to code and document the solution. Required Qualification: In depth knowledge of supervised and unsupervised ML Models – linear & logistic regression, clustering, tree-based models like random forest, bagging and boosting models. In depth knowledge on feature engineering techniques, hyperparameter tuning and model evaluation. Intermediate level knowledge of data science frameworks like Pandas, NumPy & visualization libraries like Seaborn, Plotly etc. Knowledge about Generative AI techniques – like prompt engineering, frameworks like Lang chain & Llama Index, Evals and Agentic AI. Proficient in coding - Python & SQL programming Ability to learn and apply of relevant business context required to solve the problem at hand. Good communication and presentation skills to explain the findings and insights from analysis to business stakeholders. Knowledge of software best practices, CI/CD, Cloud platforms is a plus.

How To Apply:

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Responsibilities
The intern will work with senior data scientists to analyze datasets and derive insights, contributing to business presentations for senior management. They will also collaborate with data engineers and the tech team to deploy solutions and support business stakeholders throughout the project lifecycle.
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