Job Description
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.
Qualifications
* 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.