Data Science Thesis: Engine Population Estimation

Volvo Group; Göteborgs kommun; On-site; SEK 201,000 - 268,000; Part time

Job summary

Volvo Group is seeking a master's student for a thesis project on estimating installed engine populations for Volvo Penta. You will map external data sources, design a triangulation method with explicit uncertainty, and validate outcomes with internal data, collaborating with global data science and market-analysis teams.

This role offers hands-on experience with real, global industrial data and direct contribution to a leading transport technology group.

Qualifications

• Master's student should have strong statistical estimation and data handling skills.
• Experience with incomplete or conflicting data and uncertainty.
• Familiarity with Python or R for analysis.

Responsibilities

• Identify and map external data sources relevant to engine populations.
• Assess sources on coverage, granularity, update frequency, cost and reliability.
• Design and implement triangulation method with explicit uncertainty.
• Validate method against internal Volvo Penta data and analyze discrepancies.
• Collaborate with data scientists, market analysts and stakeholders globally.

Skills

Python

R

Data wrangling

Education

Masters student in Data Science or related field

Job description

Volvo Group is seeking a master's student for a thesis project on estimating installed engine populations for Volvo Penta. You will map external data sources, design a triangulation method with explicit uncertainty, and validate outcomes with internal data, collaborating with global data science and market-analysis teams.

This role offers hands-on experience with real, global industrial data and direct contribution to a leading transport technology group.