Job Summary:
You are responsible for contributing to the development of AI/ML solutions that will both drive the innovation of our product offering and also assist our day to day business decisions. This entails understanding of retail financial and consumer behavior data, identifying business use cases, implementing and measuring the effectiveness of various AI/ML models in addressing various business problems and opportunities.
Job Responsibilities:
- Be the subject matter expert in the data available within the digital bank
- Be the champion of data-driven decision making culture across the organization
- Work with product owners and engineering to ensure the implementation of accurate
instrumentation
- Work with data engineers to ensure identified data is made available for analysis
- Discover new insights and understand business performance based on domain data
- Identify trends from various data and influence product roadmaps through data
insights
- Analyse user behaviors across our product offerings to identify opportunities
for improvement
- Contribute to the implementation of machine learning algorithms to drive product
engagement and improve operation efficiency
- Work with product owners to design, execute, and monitor product experiments
- Develop dashboards to track relevant business, product, and operational metrics
- Identify and investigate the root causes of data anomalies for proactive rectification
- Document and communicate findings to stakeholders in a clear and concise manner
Job Requirement
- Relevant degree in Mathematics and Statistics, Computer Science, or Engineering
- At least 1+ years of working experience relevant to the field of data science
- Good statistical, analytical, and problem solving skills
- Practitioner of data-driven decision making
- Proven knowledge utilising common data science toolkits such as Python, R, SQL, etc.
- Ability to statistical analysis on large data sets
- Good understanding of machine learning algorithms such linear/logistic
regression, decision tree/random forest, SVM, KNN, k-means, etc.
- Experience in building predictive models is an added bonus
- Familiarity with non-relational database is an added advantage
- Proficient in data visualization and data storytelling
- Excellent communication and documentation skills
- Relevant working experience in the banking sector or fintech industry
- Experience with any dashboard software.
- Knowledge in deep learning frameworks such Tensorflow, Keras or PyTorch.
- Familiar with cloud platforms such as Azure, Aws or GCP.