Data Engineer - ML & NLP Analytics

Vinova Pte. Ltd.; Singapore; On-site; SGD 90,000 - 160,000; Full time

Job summary

Vinova Pte. Ltd. is seeking a data scientist to apply data science and machine learning techniques to real-world problems, developing maintainable code and leveraging NLP and AI concepts in a collaborative, client-focused environment.

You will work on processing unstructured text, building models with Python, SQL, and modern NLP approaches, and communicating insights to stakeholders to drive project success.

Qualifications

• Degree in Computer Science, Data Science, Statistics, AI or related field.
• Experience applying data science and ML methods to real-world problems.
• Ability to develop clean, maintainable Python code.
• Experience using SQL for data querying and manipulation.
• Familiarity with NLP/AI techniques and evaluating models.

Responsibilities

• Apply data science and machine learning methods to analyze complex datasets and solve real-world problems effectively.
• Develop and maintain clean, efficient, and reusable Python code to support data-driven solutions.
• Use SQL to query and manipulate structured data for analysis and model development.
• Design and conduct statistical analyses and experiments to validate models and insights.
• Process and analyze unstructured text and complex data types to extract meaningful information.
• Implement modern NLP and AI techniques to enhance data models.
• Communicate analytical findings clearly to stakeholders to support decision-making and project goals.

Skills

Python

SQL

NLP

Machine Learning

Data Analysis

Education

Bachelor's degree in Computer Science, Data Science, Statistics, Artificial Intelligence, or related field

Tools

Pandas

NumPy

Job description

Vinova Pte. Ltd. is seeking a data scientist to apply data science and machine learning techniques to real-world problems, developing maintainable code and leveraging NLP and AI concepts in a collaborative, client-focused environment.

You will work on processing unstructured text, building models with Python, SQL, and modern NLP approaches, and communicating insights to stakeholders to drive project success.