Consultant, Enterprise Analytics (Data Science)

AIA Hong Kong and Macau; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading company is seeking a Consultant in Enterprise Analytics focused on Data Science. This role involves delivering advanced data science solutions, developing machine learning models, and collaborating with teams to drive business growth and efficiency in Singapore. Ideal candidates will have a degree in a relevant field along with substantial hands-on experience in machine learning and data analysis, proficient in Python and SQL, and possess strong project management skills.

Benefits

Opportunities for learning and growth

Qualifications

• 3 to 7 years of hands-on experience in data science/machine learning.
• Familiar with major machine learning algorithms and frameworks.
• Experience with maintaining Machine Learning production systems.

Responsibilities

• Develop and implement Machine Learning and GenAI models.
• Design, build, and deploy machine learning models using MLOps.
• Monitor model performance and manage model lifecycle.

Skills

Python

SQL

Machine Learning

Data Science

Project Management

Education

Bachelor’s degree in data science, statistics, computer science, mathematics

Tools

Azure ML

Databricks

MLOps

Scikit-learn

PyTorch

LangChain

Job description

Consultant, Enterprise Analytics (Data Science) page is loaded

Consultant, Enterprise Analytics (Data Science)

Apply locations Singapore, SG-AIA Singapore time type Full time posted on Posted 28 Days Ago job requisition id JR-57558

At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone.

As pioneering innovators for over 100 years, we’re now transforming our organisation to be faster, simpler and more connected. Because we want to be even better equipped to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives.

To get there, we need people with tech/digital/analytics expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people and create a healthier future for everyone.

If you believe in developing a better tomorrow, read on.

About the Role

Responsible for changing AIA’s analytics landscape by delivering best-in-class advanced data science solutions to drive business growth, improve efficiencies and reduce costs.

Role and Responsibilities

• Develop and implement Machine Learning and GenAI models to solve business problems and improve decision-making.
• Design, build and deploy machine learning models in production using MLOps best practices (CI/CD, monitoring, versioning)
• Develop and manage ML workflow using Azure ML, Azure OpenAI and Azure DevOps
• Implement AI governance frameworks, including model risk assessments, documentation and fairness audits
• Monitor model performance and mange model lifecycle (drift detection, retraining, governance updates)
• Document methodologies, processes, and findings to ensure transparency and reproducibility
• Work closely with data engineers and DevOps team to ensure robust data/model infrastructure
• Communicate findings and recommendations clearly to both technical and non-technical audiences

Requirements

• Bachelor’s degree in data science, statistics, computer science, mathematics, or a related field.
• 3 to 7 years of relevant hands-on experience in data science/machine learning.
• Proficient in Python and SQL
• Familiar with major machine learning algorithms
• Experience with machine learning libraries and GenAI frameworks (e.g., Scikit-learn, PyTorch, LangChain)
• Experience in maintaining Machine Learning production systems and MLOps.
• Understanding and experience in implementation of LLM based RAG applications will be a plus.
• Project management skills and ability to manage multiple priorities
• A drive to learn and master new technologies and techniques
• Knowledge of Databricks is a plus

Believe in better with AIA. If you work at AIA, you play an important part in this movement. Which is why we give you every opportunity to learn, grow and shape your career - your way!

#LI-SF1

Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.

You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.

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