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Intern, Data Scientist

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Delivery Hero

Jan 20, 2025

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    Research & Development
  • Berlin

Requirements

  • Solid background in Python, with experience in libraries such as TensorFlow, PyTorch, or similar frameworks.
  • Knowledge of classical machine learning algorithms and neural networks.
  • Familiarity with data preprocessing, cleaning, and transformation for model training.
  • Familiarity with SQL, including the ability to write basic queries for data manipulation and analysis.
  • Strong analytical thinking, problem-solving skills, and attention to detail.
  • Effective communication and team collaboration skills, with the ability to explain complex concepts clearly.

Responsibilities

  • Analyze large datasets comprising millions of food images and descriptions, to identify patterns, insights, and opportunities for improving image generation and enhancement.
  • Build machine learning and deep learning models to create or refine menu images.
  • Implement robust data pipelines and experiments to evaluate model performance.
  • Collaborate with cross-functional teams to integrate AI solutions into production workflows.
  • Evaluate the quality of generated images using both automated metrics and user feedback.
  • Communicate findings, progress, and results to stakeholders, translating data insights into actionable recommendations.

FAQs

What is the main focus of the Intern, Data Scientist role?

The main focus of this role is to work with the AI Menu Content Team to generate and enhance food images using computer vision and machine learning techniques, improving customer experience.

What kind of technical skills are required for this internship?

Candidates should have a solid background in Python, experience with libraries like TensorFlow or PyTorch, knowledge of classical machine learning algorithms, familiarity with SQL, and data preprocessing techniques.

Is experience with computer vision a requirement for this role?

No, while knowledge of computer vision techniques and state-of-the-art models is nice to have, it is not a strict requirement for the role.

What kind of datasets will the intern be working with?

The intern will analyze large datasets comprising millions of food images and descriptions to identify patterns and insights for improving image generation and enhancement.

How does the internship impact global growth and profitability?

The work of the intern will directly enhance user interactions and satisfaction through data-driven, personalized content, subsequently impacting global growth and profitability positively.

Will the intern be working independently or collaboratively?

The intern will collaborate closely with cross-functional teams to integrate AI solutions into production workflows.

Is prior experience in machine learning required for this position?

While prior experience is beneficial, a solid background in machine learning concepts and a willingness to learn are essential.

Are there any opportunities for professional development during the internship?

Yes, the internship includes a €1,000 educational budget, access to language courses, and a variety of online courses through the Udemy Business platform to support career growth.

How many vacation days are offered during the internship?

Interns are offered 27 days of holiday, with an additional day after the 2nd and 3rd year of service.

What type of work model is used in this internship?

The internship follows a hybrid work model, requiring interns to join the team in the Berlin campus for face-to-face collaboration two days a week.

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Delivery Hero

We build, We deliver, We lead.

Technology
Industry
10,001+
Employees

Mission & Purpose

As the world’s leading local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in over 70+ countries worldwide, powered by tech but driven by people. As one of Europe’s largest tech platforms, we enable ambitious talent to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero.