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Are you passionate about data and eager to apply machine learning, experimentation, and modeling techniques in a real-world startup environment? At Carrots , we’re looking for a sharp, curious, and motivated Data Scientist Intern to join our growing...

Are you passionate about data and eager to apply machine learning, experimentation, and modeling techniques in a real-world startup environment? At Carrots, we’re looking for a sharp, curious, and motivated Data Scientist Intern to join our growing team. From day one, you’ll be working with real user data, building and testing models, and turning insights into measurable impact across our products and growth initiatives.


WHO WE ARE


Carrots Lab, a forward-thinking Barcelona-based startup, is redefining the world of mobile app marketing. Unlike traditional agencies, we don't just create apps for others; we develop and monetize our own mobile applications. Our teams are committed to the end-to-end process, from ideation to revenue generation. If you're ready to shape the future with us, we want you on our team!


WHAT YOU’LL BE DOING


As a Data Scientist Intern, you’ll work closely with our Data & Insights team to support decision-making across the company. You’ll:

  • Support the development and evaluation of machine learning models for product and user behavior insights.
  • Assist with data exploration, feature engineering, and model validation.
  • Conduct A/B testing and support experimentation frameworks for growth and UX improvements.
  • Contribute to building automated reporting and model monitoring pipelines.
  • Help translate product and business questions into structured, data-driven hypotheses.
  • Collaborate with analysts, engineers, and product managers to test and deploy data science solutions.


WHAT YOU HAVE


  • Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
  • Proficiency in Python and experience using data science libraries (e.g., pandas, scikit-learn, NumPy, etc.).
  • Good knowledge of SQL and working with structured data.
  • Understanding of statistical modeling, machine learning fundamentals, and experimental design.
  • Experience (academic or personal) with data visualization and presenting results clearly.
  • Strong problem-solving mindset and attention to detail.
  • Ability to communicate technical results to non-technical stakeholders in English.


NICE TO HAVE


  • Experience working on personal or academic ML projects (classification, regression, clustering, etc.).
  • Familiarity with version control tools like Git.
  • Exposure to tools like Jupyter Notebooks, Google Colab, or similar.
  • Understanding of data pipelines or basic ETL concepts.
  • Interest in user behavior modeling or app engagement analysis.


WHO YOU ARE


  • Proactive, curious, and excited about applying data science to real-world problems.
  • Willing to learn fast, ask questions, and iterate with purpose.
  • Comfortable with ambiguity and quick pivots in a fast-moving startup.
  • Strong communicator and eager to collaborate with cross-functional teams.
  • Passionate about using data to make an impact on product, growth, and user experience.


WHAT WE OFFER


  • Flexible working hours to fit your lifestyle
  • Immediate start date
  • 25 days of paid annual leave (12 days of paid leave for a 6-month internship)
  • 1 month per year of "work from anywhere", including international locations
  • Beautiful private offices at Norrsken House Barcelona, with a hybrid model (4 days onsite, 1 day remote)
  • Full membership at Norrsken Club, including access to exclusive events and amenities
  • Option to request private parking at the W Barcelona Hotel, available 24/7
  • Access to a high-end gym with premium equipment, fitness classes, and personal trainers
  • Delicious, healthy, and flexible in-office catering — plates starting at just €2
  • A tailored career plan, with performance reviews and feedback every 6 months


Carrots Lab is an equal opportunity employer that celebrates diversity. All applicants will be considered for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, disability, gender, and gender identity or expression.

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