Data Scientist – Water Utilities

Timeo -Performance; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

Timeo-Performance Pte Ltd is seeking a Data Scientist to advance analytics for water utilities operations. You will work with large datasets, apply ML techniques, and translate results into practical data-driven solutions for sustainability and efficiency.

You will collect and process data from sensor networks, build models for demand forecasting and anomaly detection, and communicate insights to technical and non-technical stakeholders in a collaborative environment.

Qualifications

• Bachelor's degree in Data Science, Mathematics, Statistics, AI or related quantitative field.
• At least 1 year of experience developing real-time machine learning projects.
• Strong knowledge of data analysis, statistical modeling, and ML techniques.
• Proficiency in Python, R, SQL and data manipulation/visualization libraries.
• Ability to prototype and test analytical ideas with simple code.

Responsibilities

• Collect, clean and preprocess data from various sources for analysis and modeling.
• Develop, maintain data pipelines ensuring data availability and integrity.
• Build predictive models to forecast water-related metrics and insights.
• Create visualizations and dashboards for stakeholders and decision-makers.
• Monitor model performance and optimize solutions for reliability.

Skills

Real-world problem solving

Communication

Collaboration

Critical thinking

Education

Bachelor's degree in Data Science or related field

Tools

Python

R

SQL

pandas

scikit-learn

matplotlib

seaborn

Job description

Singapore, Singapore

Our client is a global leader in the water and waste sectors and we are seeking a Data Scientist to join their growing digital solutions team.

In this role, you will leverage advanced analytics, machine learning, and artificial intelligence to develop innovative solutions that improve water utility operations, environmental sustainability, and infrastructure performance. You will work with large and diverse datasets to uncover actionable insights, build predictive models, and develop data-driven solutions that address complex operational challenges. The ideal candidate has a strong foundation in data science and machine learning, enjoys solving real-world problems, and thrives in a collaborative, multidisciplinary environment. You should be comfortable working with large datasets, developing analytical models, and communicating technical findings to both technical and business stakeholders.

Key Responsibilities

Data Collection and Processing

• Collect, clean, and pre process large volumes of data from various sources, including sensornetworks, databases, and external datasets related to water usage, quality, and infrastructure.
• Develop and maintain data pipelines to ensure the availability and integrity of data for analysisand modeling purposes.

Data Analysis and Modeling

• Use standard and advanced data scientist approaches: time series modelling, machine learningtechnics for regression and classification, deep learning models for forecasting, computer visionmodels for images analysis.
• Apply statistical analysis, machine learning, and data mining techniques to extract meaningfulpatterns, trends, and correlations from water utilities operation data.
• Build predictive models to forecast water demand, develop and deliver solutions proposed bySUEZ related to environmental protection (resource optimisation, flood prevention, etc.)

Visualization and Reporting

• Create visualizations, dashboards, and reports to communicate insights and findings tostakeholders, including government officials and water utility operation managers.
• Collaborate with stakeholders to understand their requirements and tailor analytical outputs tomeet their needs.

Performance Monitoring and Optimization

• Monitor the performance of data models and analytical solutions, conduct ongoing evaluation,and implement improvements to enhance accuracy and reliability.
• Work on optimisation projects aimed at improving the efficiency and sustainability of watermanagement practices, such as reducing water loss and energy consumption.General

Research and Innovation

• Stay abreast of the latest developments in data science, water management technologies, andregulatory frameworks.
• Conduct research and experimentation to explore innovative approaches and emergingtechnologies applicable to water utilities.

Required Skills & Qualifications

• Bachelor's degree in Data Science, Mathematics, Statistic, Artificial Intelligence or relatedquantitative field
• At least 1 year of experience developing real-time projects in Machine Learning and DataScience.
• Solid understanding of data analysis, statistical modeling, and machine learning techniques.
• Proficiency in programming languages such as Python, R, SQL, and familiarity with datamanipulation and visualization libraries (e.g., pandas, scikit-learn, matplotlib, seaborn).
• Engineer skills are not needed, but the candidate is expected to be able to write simple code toprototype and test analytical ideas
• Strong problem-solving skills, critical thinking, and attention to detail.
• Excellent communication skills and ability to collaborate effectively with interdisciplinary teamsand stakeholders.
• Adaptability and willingness to learn new concepts and techniques in a dynamic workenvironment.

Timeo-Performance Pte Ltd

9 Raffles Place, Republic Plaza #06-00 Singapore 048916

EA Licence: 21C0685 EA Personnel Number: R1103259

Timeo-Performance is committed to fair and merit-based recruitment. We consider all qualified applicants regardless of age, gender, marital status, family responsibilities, race, religion, nationality, or disability, in line with the Tripartite Guidelines on Fair Employment Practices and the Workplace Fairness Act.