Data Scientist (Machine Learning)

Flintex Consulting Pte Ltd; Singapore; On-site; SGD 67,000 - 95,000; Full time

Job summary

Flintex Consulting Pte Ltd is seeking a Data Scientist (Machine Learning) to develop and deploy analytics and ML solutions that support digital transformation. You will analyze large datasets, build predictive models, and deliver insights to improve operations.

You will work with cross-functional teams to translate requirements into data-driven solutions, implementing pipelines and dashboards while ensuring data quality and governance.

Qualifications

• Bachelor's or Master's in Data Science or related field.
• 3-8 years' experience in Data Science, ML, or analytics.
• Strong Python (Pandas, NumPy, Scikit-learn) skills.
• Experience with TensorFlow, PyTorch, or XGBoost.
• Strong knowledge of supervised and unsupervised learning.
• Experience with SQL and relational databases.
• Cloud familiarity (AWS, Azure, or GCP).
• Experience with Power BI or Tableau.
• Git, Docker, and MLOps knowledge is a plus.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Develop, train, validate, and deploy ML models for analytics.
• Analyze datasets to identify trends and opportunities.
• Design data pipelines for collection, cleansing, feature engineering, and training.
• Build forecasting, classification, regression, clustering, and anomaly models.
• Collaborate with stakeholders to translate requirements into solutions.
• Evaluate model performance and improve accuracy and reliability.
• Develop dashboards and reports to communicate insights.
• Work with data engineers to productionize models.
• Ensure data quality, governance and compliance.
• Research new ML algorithms and emerging tech.

Skills

Analytical thinking

Communication

Team collaboration

Problem-solving

Self-motivation

Independent work

Education

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related

Tools

Python

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

XGBoost

SQL

Power BI

Tableau

AWS/Azure/GCP

Git

Docker

MLOps

Job description

Posted On 07/08/2026

Job Information

Work Experience 4-5 years

Technology

SGD 6000 - SGD 8500

City Singapore

State/Province Central Singapore

079903

Job Description

About the Role

We are seeking a Data Scientist (Machine Learning) to develop and deploy advanced analytics and machine learning solutions that support business operations and digital transformation initiatives. The successful candidate will work closely with cross-functional teams to analyze large datasets, build predictive models, and deliver actionable insights to improve operational efficiency and business performance.

Key Responsibilities

• Develop, train, validate, and deploy machine learning models for predictive analytics and optimization.
• Analyze structured and unstructured datasets to identify trends, patterns, and business opportunities.
• Design and implement data pipelines for data collection, cleansing, feature engineering, and model training.
• Build forecasting, classification, regression, clustering, and anomaly detection models.
• Collaborate with business stakeholders to understand requirements and translate them into data-driven solutions.
• Evaluate model performance and continuously improve model accuracy and reliability.
• Develop dashboards and reports to communicate insights and recommendations.
• Work with data engineers to integrate machine learning models into production systems.
• Ensure data quality, governance, and compliance with organizational standards.
• Research and evaluate new machine learning algorithms and emerging technologies.

Requirements

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related discipline.
• 3-8 years of experience in Data Science, Machine Learning, or Advanced Analytics.
• Strong programming skills in Python (Pandas, NumPy, Scikit-learn).
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or XGBoost.
• Strong knowledge of supervised and unsupervised learning techniques.
• Experience with SQL and relational databases.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Experience with data visualization tools such as Power BI or Tableau.
• Knowledge of Git, Docker, and MLOps concepts is an advantage.
• Strong analytical, problem-solving, and communication skills.

Preferred Skills

• Experience in time-series forecasting and predictive maintenance.
• Knowledge of optimization techniques and operations research.
• Experience with big data technologies such as Spark or Hadoop.
• Familiarity with Generative AI and Large Language Models (LLMs) is a plus.
• Experience working in the utilities, energy, manufacturing, or industrial sectors is highly desirable.
• Strong analytical and statistical thinking.
• Ability to communicate complex technical concepts to non-technical stakeholders.
• Excellent problem-solving and critical thinking skills.
• Self-motivated with the ability to work independently and in a collaborative team environment.
• Strong stakeholder management and project delivery skills.