AI & Data Scientist - Smart Manufacturing

Allozymes; Singapore; In loco; SGD 120.000 - 150.000; Tempo pieno

Descrizione del lavoro

Agilent Technologies Inc. is seeking an AI & Data Scientist for Smart Manufacturing to build intelligent analytics, ML, optimization, Generative AI, and Agentic AI solutions that boost quality, productivity, and reliability across global manufacturing sites.

You will work with software, automation, and manufacturing engineers to deploy production-ready AI inside enterprise platforms. The role supports translating operational challenges into scalable AI, driving continuous improvement, and

Competenze

• Bachelor’s/Master’s/PhD in Computer Science, AI, Data Science, Statistics, Mathematics, Engineering, or related discipline.
• Experience applying machine learning, statistical analysis, or AI techniques to real-world problems.
• Proficiency in Python and SQL.
• Strong analytical thinking and problem-solving skills.
• Excellent communication and collaboration skills across multidisciplinary teams.

Mansioni

• Develop machine learning and statistical models to improve manufacturing quality, productivity, and performance.
• Analyze manufacturing data to identify trends, anomalies, and optimization opportunities.
• Apply predictive, classification, forecasting, and optimization techniques to business problems.
• Design and develop AI solutions; prototype and evaluate AI technologies for manufacturing workflows.
• Collaborate with software engineers to deploy AI capabilities into enterprise products.

Conoscenze

Python

SQL

Machine learning

Data analysis

Communication

Formazione

Bachelor’s/Master’s/PhD in Computer Science or related field

Descrizione del lavoro

Job Description

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.

About Global OT & AI Engineering

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

About The Role

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.

Key Responsibilities

Machine Learning & Advanced Analytics

• 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.

AI Solution Development

• 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.

Production Deployment

• 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.

Cross-functional Collaboration

• 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.

Innovation & Continuous Improvement

• 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.

Qualifications

Required Qualifications

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.

Preferred Qualifications

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.

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/locations

Agilent 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.

Travel Required

Occasional

Shift

Day

Duration

No End Date

Job Function

Administration