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Singapore, Singapore
Remote only
Help build the future of intelligent manufacturing.
At Agilent, we're transforming manufacturing through Artificial Intelligence, Machine Learning, Industrial IoT, and cloud-native digital platforms. We're looking for passionate AI & Data Scientists who thrive on solving complex engineering challenges and turning data into measurable business impact.
As an AI & Data Scientist – Smart Manufacturing, you will develop advanced analytics, machine learning, optimization, Generative AI, and Agentic AI solutions that improve manufacturing performance across quality, productivity, equipment reliability, supply chain, engineering, and operational excellence.
Working alongside software engineers, automation engineers, manufacturing engineers, solution architects, and business leaders, you'll build production-ready AI solutions that power manufacturing operations across Agilent's global network.
Whether you're an early-career engineer eager to make an impact or an experienced AI professional looking to solve large-scale industrial challenges, this role offers the opportunity to shape the future of digital manufacturing.
Global OT & AI Engineering builds the digital foundation that powers Agilent's global manufacturing operations.
Our organization develops enterprise software, AI platforms, cloud-native applications, smart factory technologies, and enterprise data platforms that connect manufacturing sites into one intelligent ecosystem.
Our mission is to transform operational data into trusted insights and intelligent decisions that improve how products are designed, manufactured, tested, and delivered worldwide.
Our portfolio includes:
Manufacturing AI & Advanced Analytics
Global Operations Control Tower
Smart Factory & Industry 4.0
Enterprise Data Platform
Digital Twin Solutions
Manufacturing Knowledge Platform
AI-powered Decision Support
Enterprise Data Exchange Platform
Manufacturing operations generate vast amounts of data from production equipment, quality inspections, engineering processes, enterprise systems, and supply chain activities. Turning this data into actionable intelligence is key to improving operational performance.
As an AI & Data Scientist, you will develop intelligent analytical solutions that help predict issues, optimize processes, automate decision-making, and uncover opportunities for continuous improvement.
You will work across multiple business functions to translate operational challenges into scalable AI solutions that support Agilent's digital manufacturing strategy.
Develop machine learning and statistical models to improve manufacturing quality, productivity, and operational performance.
Analyze manufacturing and operational data to identify trends, anomalies, and optimization opportunities.
Apply predictive, classification, forecasting, and optimization techniques to solve business problems.
Translate complex business requirements into data-driven solutions.
Design and develop AI solutions using machine learning, Generative AI, computer vision, or optimization techniques where appropriate.
Prototype innovative AI applications that improve engineering and manufacturing workflows.
Evaluate emerging AI technologies and recommend practical applications within manufacturing operations.
Collaborate with software engineering teams to integrate AI capabilities into enterprise digital products.
Support the deployment of AI solutions into production environments in collaboration with software and data engineering teams.
Monitor model performance and continuously improve solution accuracy and reliability.
Contribute to scalable AI deployment using modern cloud platforms and engineering best practices.
Partner with Manufacturing, Engineering, Supply Chain, Quality, and IT teams to identify opportunities where AI can deliver measurable business value.
Communicate analytical findings and technical recommendations to both technical and business stakeholders.
Support enterprise digital transformation initiatives across global manufacturing sites.
Stay current with emerging technologies in Artificial Intelligence, Machine Learning, and Data Science.
Participate in proof-of-concept initiatives and technology evaluations.
Contribute to the continuous evolution of Agilent's Industrial AI capabilities.
We welcome candidates across multiple career stages. The level of responsibility will be aligned with your experience and demonstrated capability.
You should have:
Bachelor's, Master's, or PhD in Computer Science, Artificial Intelligence, Data Science, Statistics, Mathematics, Engineering, or a related discipline.
Experience applying machine learning, statistical analysis, or AI techniques to solve real-world problems through academic, research, or industry projects.
Proficiency in Python and SQL.
Strong analytical thinking and problem-solving skills.
Excellent communication and collaboration skills with the ability to work across multidisciplinary teams.
A passion for innovation and applying AI to solve business challenges.
Experience in one or more of the following areas is advantageous:
Manufacturing or Industrial Analytics
Computer Vision
Time-Series Analytics
Generative AI / Large Language Models
Cloud-based AI Platforms
MLOps
Industry 4.0 or Smart Manufacturing
Additional Details
This job has a full time weekly schedule. It includes the option to work remotely.Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locationsAgilent Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.
