Our Client
- MNC financial and insurance sector
- Work location: CBD
The Opportunity
- Develop and implement machine learning models to solve complex business problems, using techniques such as linear regression, logistic regression, decision trees, and other supervised and unsupervised learning models.
- Perform data analysis and create insights from large datasets.
- Work with stakeholders across the organization to understand business needs and translate them into data-driven solutions.
- Collaborate with citizen data scientists to empower them to leverage data and build models for their business problems.
- Enforce governance to ensure responsible and ethical use of data.
- Keep up-to-date with the latest developments in machine learning and data science.
Your Background
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Actuarial Science or related fields.
- Atleast 2 years of experience in data science or related field.
- Strong knowledge of machine learning algorithms and statistical modelling techniques, especially using Scikit-learn.
- Proficiency in Python, PySpark and SQL.
- Experience with data visualization and reporting tools (e.g. Power BI, QlikSense).
- Excellent communication and problem-solving skills.
- Must have experience with GenAI solutions and prompt engineering.
Interested parties please click "Apply Now" or contact May Anne Ramos (EA Reg no: R1110127) at [email protected] for more information. Peoplebank Singapore Pte Ltd, EA Licence Number: 08C5248.
