Thesis Worker (Data Science)

TL;DR

Thesis Worker (Data Science): Developing prediction models and conducting root cause analysis of delivery delays in global manufacturing operations with an accent on utilizing real production, product, customer, and quality data. Focus on identifying key parameters and process characteristics to mitigate delays and support proactive management.

Location: Flexible working model combining remote and office work; office location in Vantaa, Finland

Company

hirify.global is a leading global developer and supplier of technologies, automation, and services for the pulp, paper, and energy industries.

What you will do

• Develop a prediction model to estimate the risk of delivery delay when a new customer order is received.
• Identify order, product, and production parameters that correlate with delivery delays.
• Analyze the root causes behind common delivery delay reasons in hirify.global Flow Control operations.
• Propose a data-driven management and decision-support approach to mitigate delays.

Requirements

• Student in a relevant Master’s level program (e.g., Industrial Engineering, Data Science, Applied Mathematics, Operations Management).
• Experience or interest in data analysis, statistics, machine learning, or similar methods.
• Programming skills such as Python, R, SQL, or similar.
• Interest in industrial processes and real-world operational problems.
• Good command of English is required; Finnish is a plus.

Culture & Benefits

• Opportunity to work on an impactful, real-life industrial problem.
• hirify.global offers strong opportunities for future career development both domestically and globally.
• hirify.global will hire the thesis worker under a 6-month temporary employment contract with competitive salary.
• Flexible working model combining remote and office work.
• hirify.global Finland is a smoke-free workplace.

Hiring process

• Applications are reviewed during the application period.
• Positions will be filled as soon as suitable candidates are found.
• Apply soon, latest by June 14, 2026.