Mid/Senior Data Scientist
London, United Kingdom
Hybrid / WFH Options
Hybrid / WFH Options
Two
and SQL, with the ability to query databases and manipulate large datasets. Proficiency in key Python libraries for data science, including Pandas, Scikit-learn, Statsmodels, NumPy, SciPy, Matplotlib, TensorFlow, and Keras. Solid understanding of machine learning techniques, such as clustering, tree-based methods, boosting, text mining, and neural networks. Expertise More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted: