Data Scientist
- Permanent position
- Two positions open
Our Client
- A multinational insurance company
The Opportunity
As a Data Scientist, you will be responsible for creating and implementing complex machine learning models, performing data analysis, and driving insights from large datasets. You will work with stakeholders across the organization to understand their business needs and translate them into data-driven solutions. You will also work closely with citizen data scientists to help them leverage data and build models for their business problems.
Key Responsibilities:
- 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.
- At least 2 years of experience (junior) and 10+ years of experience (senior) 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.
- Experience with GenAI solutions and prompt engineering.
Candidates with the following background would be preferred:
- Familiarity with actuarial methods and models.
- Experience in MLOps and data pipelines eg, Bitbucket, Artifactory, Jenkins
- Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch).
- Experience with cloud-based services (e.g. AWS, Azure, GCP).
- Knowledge of big data technologies (e.g. Hadoop, Spark).
If you're interested in this position, please send your resume and cover letter to [Global Group AI team email address]. We look forward to hearing from you!
Interested parties please click "Apply Now" or send your CV directly to Maricris Fermin (EA Reg no: R1110126) at [email protected].
Peoplebank Singapore Pte Ltd, EA Licence Number: 08C5248.
