- Tableau
- Microsoft Power BI
- Python
- R
about-project :
- This role will be within the Digital Identity Sub-Value Stream (DI SVS). DI SVS is focused on identifying and working with some of the most interesting external vendors from around the world to provide cutting edge products to the wider bank and our more than 40 million global customers.
responsibilities :
- Collaborate with data scientists, engineers, and stakeholders to define project requirements and deliverables
- Define and maintain model development best practices and standards
- Evaluate and select appropriate algorithms and techniques for various machine learning applications
- Perform data exploration and analysis to identify relevant features and patterns
- Conduct model performance evaluation and optimization to ensure accuracy and efficiency
- Develop and maintain model deployment and monitoring pipelines
- Identify and mitigate potential model bias or ethical concerns
- Provide training and documentation to end-users and stakeholders
- Keep up-to-date with the latest advancements in machine learning and data science
requirements-expected :
- Bachelor's or Master's degree in computer science, data science, or a related field
- Solid understanding of statistical analysis and data modeling concepts
- Experience with data visualization tools such as Tableau or Power BI
- Programming skills in Python or R would be advantageous
- Excellent problem-solving and analytical skills
- Strong communication and collaboration skills
- Ability to work in a fast-paced and dynamic environment
benefits :
- sharing the costs of sports activities
- private medical care
- life insurance
