Senior Data Scientist

Job Description

Key Skills : MySQL, Data Scientist, Data Scientist R Programming, Python Roles and Responsibilities: Collaborate with business areas within Asset Management to identify opportunities for enhancing commercial performance and operational efficiency using Analytics and Data Science. Engage with the Data Architecture function to ensure optimal data sources are used in your analytics and data science projects. Design and implement data engineering pipelines for data retrieval and transformation. Create insightful visualisations to share the findings from your analytical work with stakeholders. Develop Artificial Intelligence / Machine Learning models to address different business problems ranging from client retention, risk monitoring, and global portfolio management tasks. Act as a champion for data science, guiding business users and other analysts on analytical techniques, tools, and technologies. Skills Required: Proficiency in Python, PySpark, R, and SQL programming languages. Knowledge of visualisation tools like Tableau (preferred), Qlik, or Power BI. Hands-on experience with Machine Learning using platforms like Jupyter Notebooks. Experience with cloud service providers like Google Cloud, AWS, and Microsoft Azure. Strong analytical skills, with an ability to bring structure and clarity to poorly-defined problems. Stellar interpersonal skills, with an ability to develop strong relationships with stakeholders. Education: Bachelor's degree in related field