Senior Data Scientist

Role & 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.

Preferred candidate profile

• 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.