Data Science Intern Jetzt bewerben

Data Science Intern

München Praktikum
Jetzt bewerben
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Auf einen Blick

  • Aufgaben: Join us as a Data Science Intern to turn AI outputs into actionable insights and visuals.
  • Arbeitgeber: We are an innovative AI platform revolutionizing the AEC industry with tailored solutions.
  • Mitarbeitervorteile: Enjoy a vibrant start-up culture, team events, and opportunities to make a real impact.
  • Warum dieser Job: This role offers hands-on experience in data science while working with diverse, talented colleagues.
  • Gewünschte Qualifikationen: Pursuing or completed a Master's/PhD in Data Science; proficient in Python and statistics.
  • Andere Informationen: Must be eligible to work in Germany; AEC background is a plus!

We are an AI Platform that delivers tailored AI-enabled solutions for the AEC industry with ease and speed, at a fraction of the cost of bespoke ones. Our platform leverages advanced AI to enable construction domain experts to create complex use cases efficiently.

Tasks

We are looking for full-time interns (for min. 6 months) to translate AI outputs into insightful metrics and visualisations to facilitate decision making.

The successful candidate will –

  • Extract and pre-process data from different data sources
  • Apply data science techniques to extract insights and make predictions
  • Implement data visualisation to communicate them to non-technical stakeholders

Requirements

  • Pursuing (or completed) a PhD / Master’s degree in Data Science in a German or EU university
  • Proficiency in Python for Data Science, deep understanding of statistics and experience with machine learning algorithms
  • High familiarity with data wrangling techniques and visualisation tools
  • Strong problem-solving, communication and interpersonal skills
  • Fluent in English
  • Eligible to work in Germany

Preferred experience:

  • AEC background or high degree of familiarity with the AEC industry
  • Previous experience in Data Science or Machine Learning applied AEC problems

Benefits

You will be a part of an inclusive start-up culture in a stimulating „work hard, play hard“ environment. You will work with (and party with) great colleagues with diverse backgrounds. Team events and after-work activities are frequent at CONXAI. You will be empowered to bring new perspectives and create impact.

Data Science Intern Arbeitgeber: Conxai Technologies GmbH

At CONXAI, we pride ourselves on being an exceptional employer that fosters a vibrant and inclusive start-up culture. As a Data Science Intern, you'll not only gain hands-on experience in the cutting-edge AEC industry but also enjoy numerous team events and after-work activities that promote camaraderie and collaboration. With a strong emphasis on employee growth and the opportunity to make a meaningful impact, CONXAI is the perfect place for aspiring data scientists to thrive.
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Kontaktperson:

Conxai Technologies GmbH HR Team

StudySmarter Bewerbungstipps 🤫

So bekommst du den Job: Data Science Intern

Tip Number 1

Familiarize yourself with the AEC industry by reading relevant articles, attending webinars, or joining online forums. This will help you understand the specific challenges and opportunities in the field, making you a more attractive candidate.

Tip Number 2

Showcase your Python skills by working on personal projects or contributing to open-source projects related to data science. This hands-on experience will not only enhance your resume but also give you practical examples to discuss during interviews.

Tip Number 3

Practice explaining complex data science concepts in simple terms. Since you'll be communicating with non-technical stakeholders, being able to convey insights clearly will set you apart from other candidates.

Tip Number 4

Network with professionals in the AEC and data science fields through LinkedIn or local meetups. Building connections can lead to valuable insights and potential referrals for the internship position.

Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Science Intern

Proficiency in Python for Data Science
Deep understanding of statistics
Experience with machine learning algorithms
Data wrangling techniques
Data visualisation tools
Strong problem-solving skills
Effective communication skills
Interpersonal skills
Ability to translate AI outputs into metrics
Familiarity with AEC industry
Experience in Data Science or Machine Learning
Fluency in English

Tipps für deine Bewerbung 🫡

Understand the Role: Make sure to thoroughly read the job description for the Data Science Intern position. Understand the key responsibilities and required skills, especially focusing on data extraction, pre-processing, and visualization.

Highlight Relevant Experience: In your CV and cover letter, emphasize any relevant experience you have in data science, particularly with Python, machine learning, and data visualization tools. If you have worked on projects related to the AEC industry, make sure to mention them.

Tailor Your Application: Customize your application materials to reflect the specific requirements of the internship. Use keywords from the job description to demonstrate that you meet the qualifications and are a good fit for the company culture.

Showcase Soft Skills: Since strong communication and interpersonal skills are emphasized, include examples in your application that demonstrate your ability to work collaboratively and communicate complex ideas to non-technical stakeholders.

Wie du dich auf ein Vorstellungsgespräch bei Conxai Technologies GmbH vorbereitest

Showcase Your Technical Skills

Be prepared to discuss your proficiency in Python and any relevant data science techniques. Bring examples of projects where you've applied machine learning algorithms or data visualization tools, especially if they relate to the AEC industry.

Understand the AEC Industry

Familiarize yourself with the architecture, engineering, and construction (AEC) sector. Being able to speak knowledgeably about industry challenges and how AI can address them will set you apart from other candidates.

Communicate Clearly

Since the role involves translating complex data insights for non-technical stakeholders, practice explaining your past projects in simple terms. Highlight your communication skills during the interview to demonstrate your ability to bridge the gap between technical and non-technical audiences.

Emphasize Problem-Solving Abilities

Prepare to discuss specific challenges you've faced in previous projects and how you approached solving them. This will showcase your analytical thinking and problem-solving skills, which are crucial for this internship.

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