Data Science Intern: Real-World Analytics & Impact

Partly Group; Christchurch; On-site; NZD 60,000 - 70,000; Full time

Benefits offered by this job

Healthy catered lunches

Annual wellness allowance

Paid parental leave

Commuter benefits

Innovative workspace

Flexible work schedule

Team celebration events

Job summary

Partly Group is looking for a Data Science Intern in Christchurch, New Zealand. This role involves working with the Applied ML and DataQA teams to analyze parts workflows and tackle real-world data challenges.

As an intern, you'll dig into messy data using SQL and Python, learning how to turn your analysis into actionable insights for the team. With solid analytical skills and a curiosity for problem-solving, you will be guided by experienced mentors to contribute meaningfully to the company's objectives.

Qualifications

• Solid analytical fundamentals with reasoning about data.
• Working knowledge of SQL and Python.
• Ability to break vague questions into answerable pieces.
• Curiosity about the 'why' behind problems.
• Clear communication of findings and asking for help.
• Eagerness to learn and tackle real-world problems.

Responsibilities

• Dig into real parts data to understand issues.
• Quantify problem types and count occurrences.
• Measure quality loss using SQL and Python.
• Produce clear findings actionable by teams.
• Build lightweight tools and scripts.
• Learn team operations in a dynamic environment.
• Ensure reproducible analyses and clear documentation.

Skills

Analytical fundamentals

SQL

Python

Problem decomposition

Curiosity

Communication skills

Bias for learning

Education

Studying or recently studied Data Science, Statistics, Computer Science, Mathematics, Engineering, or related field

Job description

Partly Group is looking for a Data Science Intern in Christchurch, New Zealand. This role involves working with the Applied ML and DataQA teams to analyze parts workflows and tackle real-world data challenges.

As an intern, you'll dig into messy data using SQL and Python, learning how to turn your analysis into actionable insights for the team. With solid analytical skills and a curiosity for problem-solving, you will be guided by experienced mentors to contribute meaningfully to the company's objectives.