Airbus Hiring Freshers For Data Scientist Intern Role

We are seeking a highly motivated and enthusiastic Data Scientist Intern with a strong interest in Machine Learning.
This internship provides hands-on experience in developing, implementing, and evaluating ML models for real-world problems.
Exposure to and basic understanding of Generative AI concepts will be considered a valuable asset.
Work alongside experienced data scientists and engineers in a collaborative and supportive environment.

Data Exploration and Preprocessing: Assist in collecting, cleaning, and preparing data for ML tasks, including handling missing values, identifying outliers, and feature engineering.
Machine Learning Model Development: Learn and apply ML algorithms (regression, classification, clustering) to solve business problems under guidance.
Model Evaluation and Validation: Participate in evaluating model performance using appropriate metrics and techniques to ensure robustness.
Experimentation and Iteration: Assist in designing and running experiments with different models and hyperparameters.
Documentation and Communication: Document code, methodologies, and results clearly. Present findings in team meetings as required.
Learning and Skill Development: Continuously learn new ML techniques and best practices through training, mentorship, and self-research.
Exposure to Generative AI: Participate in discussions and assist in exploratory GenAI projects, including data preparation and exploring pre-trained models (if applicable).
Collaboration: Work effectively with data scientists, engineers, and stakeholders to understand requirements and contribute to team goals.

Currently pursuing or recently completed a Bachelor's or Master's in Computer Science, Statistics, Mathematics, Data Science, or a related field.
Strong foundational knowledge of mathematics (linear algebra, calculus, probability) and statistics.
Familiarity with data science programming languages, particularly Python.
Basic understanding of ML concepts and algorithms (e.g., linear/logistic regression, decision trees, random forests, clustering).
Experience with Python libraries like NumPy, Pandas, Scikit-learn, and Matplotlib/Seaborn is a plus.
Strong analytical and problem-solving skills with the ability to interpret data effectively.
Excellent written and verbal communication skills.
Quick learner with the ability to adapt to new technologies and methodologies.
Proactive attitude and strong desire to contribute to real-world projects.

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Airbus Hiring Freshers For Data Scientist Intern Role | Market Standard