Junior Data Scientist

Swissquote is looking for a Junior Data Scientist to join our rapidly expanding Quantitative Research & Solutions department. This is an exciting opportunity for recent graduates with relevant internship experience in data science, machine learning or related fields, who are eager to launch their career in a fast-paced and innovative environment.

Responsibilities

• Develop machine learning models.
• Design and develop data pipelines.
• Perform statistical data analysis.
• Develop and experiment with generative AI models, including leveraging proprietary APIs and fine-tuning pre-trained models for custom applications.
• Rapidly prototype models and conduct experiments to validate hypotheses and improve model performance.
• Work closely with cross-functional teams to gather requirements and deliver data-driven solutions.
• Communicate complex findings and insights to both technical and non-technical stakeholders, supporting data-driven decision-making.

• Educational Background: Master's degree in Data Science, Physics, Mathematics, Computer science or a related quantitative field.
• Experience: One or more relevant internships in data science, machine learning, or AI-related fields.

Technical Skills:

• Solid programming skills in Python , including experience with data manipulation and analysis libraries (e.g., pandas, NumPy).
• Hands-on experience developing machine learning models , either in academic projects or through internships, using libraries such as Scikit-learn , TensorFlow , or PyTorch .
• Familiar with version control tools
• Good understanding of statistical analysis techniques , including hypothesis testing , anomaly detection , and data modeling .
• Proficient in creating data visualizations using tools such as matplotlib, seaborn, or dashboards to communicate insights effectively.
• Basic understanding of LLM architectures (e.g., Transformer-based models) and experience experimenting with LLM APIs (such as OpenAI or Hugging Face) is a strong plus .

Soft Skills:

• Eagerness to learn and grow in a fast-paced environment.
• Good communication skills and team spirit.
• Analytical and problem-solving mindset.
• Ability to take initiative and manage time effectively.

Compétences idéales

• Hypothesis Testing
• Machine Learning
• Numpy
• Pandas
• PyTorch
• Python
• Scikit-learn
• TensorFlow
• Version Control

• Gland, Vaud, Switzerland

Expérience professionnelle

• Machine Learning
• Data Scientist

Compétences linguistiques

• English