Data Science Intern – Real‑world AI for Automotive Parts

About the role

As a Data Science Intern at Partly you will work alongside the Applied ML and DataQA teams to investigate real‑world problems in vehicle parts validation, ordering and automatching. You will be mentored by experienced data scientists and engineers, turning messy data into actionable insights.

Key responsibilities

• Dig into real parts data to build a data‑backed understanding of validation and ordering challenges.
• Quantify problem types by breaking broad issues into specific, measurable categories.
• Measure quality loss using SQL, Python, sampling and internal tools.
• Translate analysis into clear findings that guide product and ML decisions.
• Build lightweight tooling such as scripts, small dashboards and workflow reviews.
• Partner with Applied ML, DataQA and Product teams to learn high‑velocity, low‑bureaucracy processes.
• Produce reproducible analyses, write clear documentation and ask thoughtful questions.

Required profile

• Solid analytical fundamentals from studies in data science, statistics, computer science, mathematics or engineering.
• Experience querying data and writing code in SQL and Python.
• Ability to decompose vague questions into answerable pieces.
• Curiosity about underlying causes of problems and comfort with noisy data.
• Clear communication skills and openness to feedback.
• Bias for learning and ownership of personal growth.

Required skills

• SQL
• Python

What we offer

• Healthy catered lunches at all offices.
• $1,500 annual wellness allowance on a Partly‑branded card.
• Three months fully paid parental leave for primary caregivers.
• Paid 24/7 car park or commute allowance.
• Modern, collaborative office spaces with flexible, office‑first work mode.
• Regular team celebrations, quarterly season openers and an annual global offsite.
• Generous relocation allowance for moves to Partly offices.