Data Scientist, AI/ML Predictive Maintenance Platform

KEPPEL LAND WATCO II COMPANY LIMITED

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Singapore Until 9/19/2026 First posted July 21, 2026 Last posted July 21, 2026
Job description

JOB DESCRIPTION

We are seeking a skilled and pragmatic Data Scientist to join our team in shaping the next-generation AI/ML-based predictive maintenance platform. You’ll work on applying both classical and Gen AI techniques to real-time IoT signals across diverse physical assets. If you thrive in fast iterations, own your experiments, and believe in getting things to production—not just Jupyter notebooks—this role is
for you.

Key Responsibilities

1. Model Development

  • Develop, train, and fine-tune models on time-series sensor data for both anomaly detection and failure prediction across various asset types.
  • Explore and apply a mix of forecasting, anomaly detection, change point detection, survival analysis, and representation learning techniques, choosing the best fit based on the use case.
  • Be comfortable applying hybrid approaches (e.g., combining statistical thresholds with ML models, or chaining changepoint detection with LSTM/Transformer predictors) when appropriate.
  • Iterate quickly and deliver working ML models into dev or production environments every 1–2 week sprint, enabling rapid feedback and continuous improvement.
  • Balance performance, explainability, compute cost, and deployment constraints in every modeling decision

2. Model Performance Monitoring

  • Continuously monitor model performance in production (e.g., accuracy, drift, recall).
  • Build a retraining and rollback strategy to handle data drift, model drift or edge cases.
  • Use dashboards or alerts to track live model degradation.
  • Proactively recommend model retirement or replacement.

3. Team Player

  • Clearly explain model behavior (e.g. thresholds, decision boundaries).
  • Share experiment results, performance comparisons, and trade-offs transparently.
  • Collaborate with product managers, engineers, and non-technical stakeholders.
  • Align ML decisions across the team for unified communication.
  • Follow lean documentation principles: be precise, but cover key code, decisions, and the chosen approach

JOB REQUIREMENTS

-

BUSINESS SEGMENT

Connectivity

PLATFORM

Operating Division
About this role

Summary

Develop and optimize ML models for real-time asset failure prediction.

Job title

Data Scientist, AI/ML Predictive Maintenance Platform

Experience level

not specified

Industry

connectivity

Location requirements

Singapore, remote work not specified.

Salary

Not specified

Management role

No

Skills & keywords

Required skills

ML modelstime-series dataanomaly detectionforecastingmodel deploymentmonitoring

Preferred skills

transformer modelschurn detectionhybrid modelingdashboarding

Specializations

predictive maintenancetime-seriesanomaly detectionforecastingsurvival analysis
Locations

Structured locations inferred from the posting.

Singapore

Work arrangement unknown City
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