Data Scientist - Robotics & AI/ML Platform

Data Scientist — Robotics & AI/ML PlatformEmployment Type: Contract (1 year)Level: Senior Consultant (Level 3)Start Date: September 2026Industry: Government / Public Sector TechnologyAbout 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).