Requirements

Bachelor's or Master's degree in Data Science, Mathematics, Statistics, Computer Science, Engineering, or another relevant quantitative field. Final-year students may also be considered.
1–2 years of experience in Data Science. Relevant internships, academic projects, research, or practical Data Science experience will also be considered.
Solid foundation in Python, including libraries such as pandas, NumPy, scikit-learn, and matplotlib.
Understanding of fundamental Machine Learning algorithms, including regression, classification, and clustering.
Basic understanding of descriptive and inferential statistics.
Intermediate SQL skills, including queries, joins, and aggregations.
Familiarity with Git and notebook environments such as Jupyter or Google Colab.
Strong analytical and problem-solving skills.
Curiosity, attention to detail, and a genuine desire to learn and grow in a challenging environment.
Good communication skills and the ability to collaborate effectively within multidisciplinary teams.
Comfortable working in an international and fast-paced consulting environment.

Junior Data Scientist

Summary