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Company Overview
A digital bank based in Singapore, backed by a consortium of Grab Holdings Inc. and Singtel, aims to offer improved banking services to everyday consumers and small businesses through technology.
Job Title: Data Delivery and AI Solutions Specialist
Key Responsibilities:
- Own the Data Product Roadmap and Implementation. Coordinate with the Product team on the rollout of products that require data products.
- Work independently and/or in a team to solve complex problem statements.
- Collaborate with various stakeholders on AI and data science projects to ensure alignment and successful delivery.
- Maintain close relationships with Data Engineering and Data Management teams to plan and execute the roadmap of data products for the Bank.
- Translate business requirements into data terminology and vice versa to ensure clear communication and understanding.
- Provide technical expertise and guidance in SQL and Python, as well as data analytics, data science, and AI methodologies.
- Prioritize tasks effectively to meet deadlines and deliver high-quality results.
- Stay current with industry trends and emerging technologies to continuously improve skills and team knowledge.
Required Qualifications:
- Bachelor’s degree in Computer Science, Data Science, or a related field.
- 5+ years of professional experience in the data field.
- Proficiency in coding with SQL, Python and Cloud Technologies (AWS in particular).
- Possess a sound understanding of requirements for end-to-end data flows that will enable product and business outcomes.
- Solid understanding of Machine Learning Operations and Model Development Lifecycle.
- Strong understanding of various data analytics, data science, and AI methodologies.
- Excellent communication skills, both written and verbal, with the ability to convey complex technical concepts to non-technical stakeholders.
- Strong prioritization and organizational skills.
- Ability to work effectively in a collaborative, fast-paced environment.
Preferred Qualifications:
- Master’s degree in Computer Science, Data Science, or a related field.
- Experience in the banking or financial services industry.
- Knowledge of data management and data engineering principles.
- Experience with cloud-based data platforms and tools.
Disclaimer
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