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Associate Data Scientist
2 weeks ago
We’re seeking a future team member for the role of Associate, Data Scientist to join our Loans Enablement Platform team. This role is located in Singapore - Hybrid.
In this role, you’ll make an impact in the following ways:
- Develop, test, and deploy scalable and robust AI models and pipelines using various frameworks and tools.
- Collaborate with cross-functional teams of engineers, product managers, and domain experts to understand the business needs and deliver high-quality solutions.
- Collaborate with business domain experts to understand, define and refine ambiguous questions and propose hypotheses, testing plans and develop data solutions through good understanding of the data and business domain.
- Communicate the results and implications of the AI projects to both technical and non-technical stakeholders.
- Leverage different database systems to access and transform data to deliver business value to the end users.
- Stay updated with the latest research and trends in AI and related fields such as Large Language Model.
- Conduct business analysis and communicate with SMEs (Subject Matter Experts) to understand data and ensure business requirements are fully implemented.
- Monitors industry and marketplace technology practices and benchmarks related to banking industry and supporting the data strategy.
- Grow and develop skills across the 3 domain specialties: data science, business analytics and data engineering.
To be successful in this role, we’re seeking the following:
- Advanced degree in STEM engineering degrees, or equivalent work experience with experience preferred in related fields.
- Proficient in python and other similar programming languages.
- Strong knowledge of machine learning and deep learning concepts, algorithms, and best practices.
- Proficient in data analysis, manipulation, and visualization using python packages such as Pandas, NumPy, Scikit-learn, Matplotlib, or using Visualization tools such as PowerBI, Thoughspot etc. is a plus.
- Experience in working with various data sources and formats, including structured and unstructured data sets.
- Proficient in data analysis by writing optimal SQL queries.
- Excellent communication, presentation, and teamwork skills.
- Ability to work independently and creatively in a fast-paced environment.
- Passion for learning new technologies and solving challenging problems.
- Knowledge of development processes/lifecycle management for large language models
- Knowledge and understanding for leveraging: Predictive Analytics, Automation, Anomaly Detection/Risk Management, and Generative AI (GenAI)
- Experience in loans or financial services industry is a plus.
