MICHAEL PAGE (PERSONNEL) PTE. LTD.
Good work life balance and benefits
Opportunities to work on outstanding technologies on supply chain solutions
About Our Client
A global technology group with over 12,000 employees in 100+ locations, delivering customized solutions in machinery, software, and automation for industries like tobacco, food and beverage, and supply chain. Job Description
Extract, clean, and manage structured and unstructured data from various sources for analysis and model development. Design and deploy predictive models using
machine learning , deep learning, and statistical techniques to optimize industrial processes. Conduct
exploratory data analysis and apply algorithms
(e.g., regression, clustering, neural networks) to uncover insights and automate decision-making. Validate and fine-tune models using best practices like cross-validation and A/B testing. Build
data applications and visualizations
using tools like Tableau, Power BI, Python, and R to communicate findings to stakeholders. Collaborate with cross-functional teams to align data solutions with business goals and support digital innovation. Stay current with emerging data science and AI trends to continuously enhance methodologies and tools. The Successful Applicant
At least 2 years of hands-on experience in data science or analytics roles. Proficient in
Python, R, and SQL , with strong skills in libraries like Pandas and NumPy. Familiar with
machine learning frameworks
(e.g., Scikit-learn, TensorFlow, Keras) and
data visualization tools
(e.g., Tableau, Power BI, D3.js). Exposure to big data tools (Hadoop, Spark) and cloud platforms (AWS, GCP, Azure) is advantageous. Solid grounding in statistics, probability, and mathematical modeling, with experience designing experiments and interpreting results. Strong analytical thinking, creativity in problem-solving, and attention to detail. Excellent communication skills for conveying complex insights to non-technical audiences. Domain knowledge in manufacturing or tobacco (e.g., ISA-95) is a plus. Bachelor's degree in Computer Science, Statistics, Engineering, or a related field; advanced degrees or certifications (Coursera, edX) are a bonus What's on Offer
Dynamic environment for career progression , mentorship, and
skill advancement in AI, big data, and cloud technologies
Cutting-edge technologies
including AI, machine learning, automation, and industrial IoT, encouraging employees to
innovate, experiment, and drive digital transformation
in traditional industries Contact Jayden Yap (Lic No: R22110369/ EA no: 18C9065) Quote job ref JN-072025-6802770 Phone number +65 6416 9897 Michael Page International Pte Limited, company number 199804751N (including Page Executive (53295516A) and Page Personnel Recruitment Pte Ltd (Registration Number: 201736642C)) operates under the EA Licence Numbers of 18S9099 and 18C9065.
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A global technology group with over 12,000 employees in 100+ locations, delivering customized solutions in machinery, software, and automation for industries like tobacco, food and beverage, and supply chain. Job Description
Extract, clean, and manage structured and unstructured data from various sources for analysis and model development. Design and deploy predictive models using
machine learning , deep learning, and statistical techniques to optimize industrial processes. Conduct
exploratory data analysis and apply algorithms
(e.g., regression, clustering, neural networks) to uncover insights and automate decision-making. Validate and fine-tune models using best practices like cross-validation and A/B testing. Build
data applications and visualizations
using tools like Tableau, Power BI, Python, and R to communicate findings to stakeholders. Collaborate with cross-functional teams to align data solutions with business goals and support digital innovation. Stay current with emerging data science and AI trends to continuously enhance methodologies and tools. The Successful Applicant
At least 2 years of hands-on experience in data science or analytics roles. Proficient in
Python, R, and SQL , with strong skills in libraries like Pandas and NumPy. Familiar with
machine learning frameworks
(e.g., Scikit-learn, TensorFlow, Keras) and
data visualization tools
(e.g., Tableau, Power BI, D3.js). Exposure to big data tools (Hadoop, Spark) and cloud platforms (AWS, GCP, Azure) is advantageous. Solid grounding in statistics, probability, and mathematical modeling, with experience designing experiments and interpreting results. Strong analytical thinking, creativity in problem-solving, and attention to detail. Excellent communication skills for conveying complex insights to non-technical audiences. Domain knowledge in manufacturing or tobacco (e.g., ISA-95) is a plus. Bachelor's degree in Computer Science, Statistics, Engineering, or a related field; advanced degrees or certifications (Coursera, edX) are a bonus What's on Offer
Dynamic environment for career progression , mentorship, and
skill advancement in AI, big data, and cloud technologies
Cutting-edge technologies
including AI, machine learning, automation, and industrial IoT, encouraging employees to
innovate, experiment, and drive digital transformation
in traditional industries Contact Jayden Yap (Lic No: R22110369/ EA no: 18C9065) Quote job ref JN-072025-6802770 Phone number +65 6416 9897 Michael Page International Pte Limited, company number 199804751N (including Page Executive (53295516A) and Page Personnel Recruitment Pte Ltd (Registration Number: 201736642C)) operates under the EA Licence Numbers of 18S9099 and 18C9065.
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