Data Scientist - Robotics & AI/ML Platform - #1169014

Data Scientist — Robotics & AI/ML Platform

Employment Type: Contract (1 year)

Level: Senior Consultant (Level 3)

Start Date: September 2026

Industry: Government / Public Sector Technology

About the Role

Join a national-scale robotics platform build as the lead Data Scientist. You will design and build data pipelines and backend services, develop production-ready ML models, and assess data for AI/ML use cases. This role requires close collaboration with data engineers and architects, with knowledge transfer to the internal team as a key deliverable.

Key Responsibilities

• Design and build data pipelines and backend services for data ingestion, processing, and access.
• Develop and maintain data models and ML models, ensuring production-readiness and alignment with platform use cases.
• Assess available data to form hypotheses for data science and ML use cases.
• Support hypothesis testing across candidate use cases.
• Work with the data team on the analytics layer to ensure outputs are accessible and meaningful.
• Produce documentation covering model development decisions and pipeline design.
• Progressively transfer data science and ML modelling knowledge to the internal team.

Requirements

• Degree in Computer Science, Engineering, Data Science, or related field.
• 8+ years of experience in data science.
• Proven experience developing and deploying data models and ML models in production environments at scale.
• Ability to work collaboratively with data engineers on pipeline design, backend services, and analytics layer development.
• Experience with modern data platform tooling (e.g., Databricks or equivalent) on AWS or comparable cloud infrastructure.
• Must have served as lead data scientist for the majority duration of national or large-scale data platform projects.
• Demonstrated experience delivering comparable projects internationally at city-level or above, beyond Singapore.

Preferred Qualifications

• Familiarity with standard IoT and industrial messaging protocols (MQTT, AMQP, OPC-UA).
• Experience with robotics data formats and sensor/field-equipment data streams.
• Experience preparing data infrastructure for GenAI use cases (LLM, RAG workloads).
• Experience building ingestion pipelines for robotics or field-sensor data.

Do apply here if you find that you are a good fit for this role. I will reply soonest on prospective candidates. Thanks. Brendan (R21100773).