Corporate Strategy - Data Science Implementation Analyst/Consultant

Singapore Pools; Singapore; On-site; SGD 70,000 - 90,000; Full time

Benefits offered by this job

Competitive salaries

Flexi Benefits

Staggered working hours

Medical Insurance

Learning & Development Opportunities

Job summary

Singapore Pools is seeking a passionate Assistant Manager to join the Corporate Strategy team. You will develop and implement data processing pipelines and analytical frameworks to support strategic initiatives.

The ideal candidate will have a postgraduate degree in a relevant field and strong experience in Python, SQL, and machine learning. This role offers competitive salaries and various flexi benefits.

Qualifications

• Strong Python skills with hands-on experience building advanced data analytics / ML models.
• Demonstrated experience building, deploying, and operating data science or ML models in production.
• Working knowledge of SQL and PySpark for large-scale data processing.

Responsibilities

• Identify, undertake, and implement analytics projects with strategy and technical teams.
• Support end-to-end implementation of analytical frameworks and models.
• Promote software engineering practices within the data science team.

Skills

Data Science

Python

SQL

Machine Learning

PySpark

Education

Postgraduate degree in Data Science, Computer Science, Machine Learning, or related field

Tools

Docker

AWS

Snowflake

Azure

Job description

Role Overview

We are looking for a passionate and professional Assistant Manager to join our Corporate Strategy team.

Reporting to the Senior Manager, the incumbent will develop and implement data processing pipelines, modelling workflows, and tools to support key strategic initiatives.

What You'll Do

• Identify, undertake, and implement analytics projects in collaboration with strategy team members and technical stakeholders.
• Translate agreed analytical and modelling requirements into well‑structured, efficient, and maintainable code within defined scope and timelines.
• Support end‑to‑end implementation of analytical frameworks and models, with emphasis on code quality, reproducibility, robustness, and performance.
• Maintain and refine existing analytical models and pipelines to ensure continued relevance, accuracy, and operational stability.
• Contribute to the productionisation and operational deployment of analytics and models, including automation, scheduling, monitoring, documentation, and version control.
• Support the development of Singapore Pools (SPPL)’s in house analytics capabilities through adoption of structured methodologies and reusable technical frameworks.
• Promote good software engineering practices within the data science team, including code reviews, testing standards, documentation, and knowledge sharing.
• Support technical integration and implementation of agreed analytical approaches with internal teams and external partners.
• Support the strategy team by implementing analytics and modelling solutions that enable execution of SPPL’s long‑term strategic initiatives.
• Collaborate closely with strategy team members and technical stakeholders to own and implement analytical and modelling requirements through well‑structured, efficient, and maintainable code, within agreed project scope and timelines.
• Collaborate with strategy and business stakeholders to ensure analytical outputs are fit‑for‑purpose and decision‑relevant.
• Provide technical and analytical support to strategy‑led projects involving regulators, industry partners, or international lottery operators.

Who You Are

• Postgraduate degree in Data Science, Computer Science, Machine Learning, or a related quantitative field.
• Demonstrated experience building, deploying, and operating data science or ML models in production.
• Strong Python skills, with hands‑on experience building advanced data analytics / ML models and exposure to LLMs.
• Working knowledge of SQL and PySpark for large‑scale data processing and model pipelines.
• Strong engineering fundamentals: data structures & algorithms, Git/version control, testing, API design, and CI/CD.
• Deployment experience with Docker / Docker Compose / Portainer on Linux/Unix, across on‑prem and/or cloud.
• Hands‑on experience with GPU‑enabled environments for ML training and inference, with working proficiency in Unix/Linux for development, deployment, and production troubleshooting.
• Experience with cloud data and ML platforms (e.g., AWS, Snowflake, Azure).
• Experience building user‑facing applications with Python web frameworks (e.g., Django) and front‑end (HTML/CSS/JS, React) is a plus.

Benefits

• Competitive salaries
• Flexi Benefits
• Staggered working hours
• Medical Insurance
• Learning & Development Opportunities

Singapore Pools welcomes you not for how you look, where you come from, or differences you may have. We want you here for who you are. Diversity at the company helps us see a greater picture represented by different voices, helping us in contributing back to the society. So, feel free to express who you are, and be proud of your heritage and personal experience as you begin your journey with us!