Data Scientist

AITIS (AITI Solutions); Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

AITIS (AITI Solutions) seeks MSc-educated Data Scientist/Engineer to develop, test, and optimize AI-powered solutions across healthcare, construction safety, and environmental monitoring. You will handle data analysis, model development, and AI system validation for multiple projects.

Responsibilities include testing AI models for accuracy and bias, feature engineering, and collaboration with engineers to deploy solutions.

Qualifications

• Master of Science in Data Science, AI, ML, CS or related field.
• Proficiency in Python, R, SQL and ML libraries such as TensorFlow, PyTorch, Scikit-learn.
• Experience with data visualization tools (Tableau, Matplotlib, Power BI, Seaborn).
• Strong knowledge of statistical modeling, deep learning, and AI model interpretability.
• Ability to work with large datasets, cloud platforms (AWS, GCP, Azure) and MLOps tools.
• Excellent analytical, problem-solving, and communication skills.

Responsibilities

• Conduct testing and validation of AI models, focusing on accuracy, bias detection, and performance metrics.
• Develop and implement ML models for predictive analytics and automation.
• Perform data preprocessing and feature engineering on large datasets.
• Optimize AI models through performance testing and real-world validation.
• Collaborate with engineers and domain experts to integrate AI into existing systems.
• Work with structured and unstructured data ensuring accuracy and reliability.
• Stay up-to-date with the latest AI advances and apply them to projects.

Skills

Python

R

SQL

Analytical thinking

Communication skills

Java

C++

Python libraries

Machine learning

Data visualization

Problem solving

Education

MSc in Data Science, AI, ML, CS

Tools

TensorFlow

PyTorch

Scikit-learn

Tableau

Matplotlib

Power BI

Seaborn

AWS

GCP

Azure

MLflow

Kubeflow

Airflow

Job description

AITIS is a forward-thinking technology-driven company committed to leveraging AI and data-driven solutions to transform industries. We specialize in AI-enabled risk assessment technology across healthcare, construction safety, traffic management, and environmental monitoring. As part of our expansion, we are seeking a talented Data Scientist/Engineer to join our Team.

We are based in the City of London. We are ISO9001 and medical devices ISO13485 certified.

Job Description

We are seeking a highly skilled MSc Data Scientist to develop, test, and optimize AI-driven solutions. The role involves data analysis, machine learning model development, and AI system validation to support our healthcare, construction safety, or environmental monitoring projects.

Key Responsibilities

Conduct testing and validation of AI models, focusing on accuracy, bias detection, and performance metrics.

Develop and implement machine learning models for predictive analytics and automation.

Conduct data preprocessing, feature engineering, and statistical analysis on large datasets.

Optimize and validate AI models through performance testing and real-world applications.

Collaborate with engineers and domain experts to integrate AI solutions into existing systems.

Work with structured and unstructured data, ensuring accuracy and reliability.

Stay up-to-date with the latest AI and data science advancements, incorporating them into projects

Required Skills & Qualifications

MSc in Data Science, AI, Machine Learning, Computer Science, or related field.

Proficiency in Python, R, SQL, and machine learning libraries (TensorFlow, PyTorch, Scikit-learn).

Experience with data visualization tools (Tableau, Matplotlib, Power BI, or Seaborn).

Strong knowledge of statistical modeling, deep learning, and AI model interpretability.

Ability to work with large datasets, cloud platforms (AWS, GCP, or Azure), and MLOps tools.

Strong analytical, problem-solving, and communication skills

Why Join Us?

Work on cutting-edge AI and cloud-based data projects.

Collaborative and innovative work environment.

Opportunities for continuous learning, growth, and career advancement.

If you are passionate about AI, cloud computing, and data-driven solutions, we would love to hear from you!