Industrial Digital Transformation Analyst

WHAT WE ARE LOOKING FOR:

Someone for the Business Lab Industrial team at SmurfitWestrock, in a remote work model, acting as a protagonist in the digital transformation of industrial operations.

We are looking for a professional capable of connecting Process Engineering, Industrial Automation, Data Analysis, Machine Learning, and Artificial Intelligence to develop innovative solutions that increase productivity, quality, operational reliability, and competitiveness.

This position will play a fundamental role in the expansion of SmurfitWestrock's Industrial Data Platform, connecting industrial assets, sensors, automation systems, historians, Data Lake, Analytics, and Artificial Intelligence to generate scalable value for business areas and enable operational and strategic decision-making.

Responsibilities and assignments

WHAT YOU WILL DO:

• Develop projects using statistical modeling, ML, or AI tools appropriate to each project with the objective of continuous improvement, productivity scaling, process optimization, and reliability in industrial operations;
• Map, structure, and manipulate databases (internal and external) using appropriate analysis tools;
• Lead digital transformation projects connecting Engineering, Automation, Data, Machine Learning, and Artificial Intelligence;
• Structure, contextualize, and analyze data coming from equipment, sensors, historians, and industrial systems;
• Implement Machine Learning and Artificial Intelligence use cases focused on predictive maintenance, anomaly detection, quality, energy, and productivity;
• Monitor and improve the performance of statistical, ML, and AI models. Fix code or data-related issues;
• Work together with Operations, Maintenance, Engineering, Quality, and IT areas to transform industrial problems into scalable solutions;
• Evaluate new technologies, platforms, and architectures focused on Industry 4.0, Industrial Analytics, and AI;
• Ensure that developed projects generate measurable impact through KPIs such as OEE, Savings, Cost Avoidance, Quality, Energy, Availability, and ROI;
• Develop and present reports to business areas and managers for decision-making;
• Assist business teams in interpreting results and recommending improvements;
• Perform exploratory analyses and promote the dissemination of data culture;

Requirements and qualifications

WHAT WE EXPECT FROM YOU:

• Completed Higher Education in Control and Automation Engineering, Electrical, Mechanical, Chemical, or related fields and/or Statistics, Mathematics, Data Science applied to Industry;
• Intermediate English;
• Knowledge of Python, SQL, and Database;
• Knowledge of predictive modeling, time series, anomaly detection, and classification and regression models (ML);
• Desirable knowledge in Industrial Automation, Generative AI, LLMs, and Industrial Copilots;
• Desirable knowledge in Applied Statistics and Industrial Process Optimization;
• Desirable experience in industrial settings;
• Desirable experience in Industry 4.0 projects, Industrial Digitalization, Industrial Machine Learning, Predictive Maintenance, Energy Efficiency, and Process Optimization