Data Scientist, Gctb - Regional Portfolio

**Responsibilities**:- Train and optimize predictive and machine learning models to solve business problems.- Perform ad-hoc statistics and data mining tasks on diverse datasets.- Enhance data collection procedures to improve analytic systems.- Develop prototypes and advanced analytics capabilities to derive actionable insights.- Design and build visualization interfaces to aid decision-making.- Stay up-to-date with the latest advancements in data science research.- Test and evaluate new tools and packages.- Support the transition to a data-driven culture within the company.- Identify, analyze, and present data discovery outputs for analytic projects.- Develop data ingestion pipelines and create analytic data assets.- Collaborate with data engineers to enhance the analytic data infrastructure.**Requirements**:- PhD/Masters/Bachelor's in computer science, Statistics, Applied Mathematics, or related disciplines.- Strong understanding of machine learning techniques and algorithms.- Proficiency in data wrangling, transformation, and feature engineering using programming tools such as Spark, Python, or R.- Experience with common data science toolkits and visualization tools.- Familiarity with SQL and query languages.- Excellent communication and presentation skills in English.- Taste for working in teams, self-starter, able to work on multiple projects in parallel Industry experience in data analytics working in a big data environment.- Familiarity with Commercial or Institutional Banking use-cases is preferred but not necessary.