Public listing
Data Intern
- Work modeHybrid
- EmploymentIntern
- ListedPosted 8 hours ago
- SourceSmartrecruiters
Role overview
About the role
Description supplied by the original job listing.
Job Ref ID: JR0089102
Your mission:
As a Data Intern, you will play a pivotal role in empowering product and business teams to make data-driven decisions. Embedded directly within the Core Science team, you will dive into the full data lifecycle—from hands-on exploratory analysis to building machine learning models and shaping user experience on the Glovo app.
Here’s what you’ll do:
Data Exploration & Insights: Leverage SQL and Python to perform Exploratory Data Analysis (EDA) and complex data aggregations that uncover actionable trends.
Product Optimization: Stay close to the Glovo product, identifying bottlenecks and optimization opportunities across the user funnel.
Experimentation & A/B Testing: Learn and utilize our experimentation framework—designing tests, running Minimum Detectable Effect (MDE) analyses, and evaluating product features.
Machine Learning in Practice: Build and onboard ML models from scratch with dedicated mentorship from senior data scientists.
Business Impact: Translate data into impactful narratives, communicating insights clearly to both technical and non-technical stakeholders.
What You Bring to the Table:
Strong SQL Proficiency: Confident writing clean, complex queries from scratch without AI or documentation assistance (expert in multi-table JOIN operations, advanced filtering with WHERE/HAVING, and database schema relationships).
Python for Data Science: Solid grasp of core programming, data manipulation, and basic Object-Oriented Programming (OOP) principles.
Statistical Foundations: Grounded understanding of core probability, statistics (e.g., percentiles, baseline forecasting), and analytical problem-solving.
Technical Agility: Hands-on comfort with command-line interfaces (CLI/terminal), environments like Google Colab, and the curiosity to independently adopt new tools (experience with BI tools like Looker is a plus).
STEM Background: Ongoing studies or a degree in a STEM field (Science, Technology, Engineering, Mathematics) or equivalent practical experience.
Ownership & "Solve-it-First" Mindset: Extreme proactivity and self-sufficiency—you actively look for solutions before escalating issues.
Cross-Functional Communication: Exceptional ability to translate technical concepts and data insights into clear business language for non-technical stakeholders.
Execution Under Pressure: Strong prioritization skills to handle high-tempo demands and changing priorities without losing focus.
Availability & Presence: Ability to commit full-time (40h/week) for at least 6 months, follow our hybrid office rhythm (on-site on Monday, Tuesday, and Thursday), and hold valid local work authorization without visa sponsorship.
Skills
Python, SQL, Machine Learning, Data Analysis, Documentation
Employment type
Intern
Work arrangement
Hybrid
Skills from the listing
- Python
- SQL
- Machine Learning
- Data Analysis
- Documentation
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