Data Scientist at Changi Airport Group in Changi, East Region, Singapore | Kablio

Role

Description

data infrastructure

ai modeling

model ops

experimentation

customer insight

campaign analysis

Develop go-to-market implementations and connect strategy to execution around data infrastructure, AI operating models and GenAI-enabled transformation.
Analyze and interpret the results of marketing/Ops campaigns and/or experiments and recommend enhancements for future campaigns
Solve commercial problems with AI to deliver social and economic value
Create a culture of excellence and lead with confidence, charisma, context, and humility working effectively at all levels
Provide thought-leadership and establish best practices for instrumentation and experimentation and communicate those to EDSM and other Data Science/Analytics teams.
Establish scalable, efficient, automated processes for large scale data analysis, model development, model validation, model implementation and model ops.
Work closely with EDSM team to identify and provide insights for important Customer Intelligence questions
Develop, validate and deliver algorithms, statistical models and analytical insights to achieve business goals

Requirements

phd

ai engineering

pytorch

aws sagemaker

ml ops

communication

Enterprise Data Science and Management (EDSM) is seeking an experienced Lead Data Scientist to join our Data Science team. Individuals in this role are expected to be comfortable working as an AI/ML Ops engineer and a quantitative researcher. The ideal candidate will have a keen interest in the study of customer buying behavior, and a passion for identifying and answering questions that help us identify and fulfill the latent needs of the customer.

Strong track record of leading delivery of AI solutions through incubation, proof-of-concept, to large-scale real-time deployment
M.S. or Ph.D. in a relevant technical field, or 4+ years’ experience in a relevant role
Practical hands-on experience with a broad range of tools to assist in AI development: Jupyter, LLMs, PyTorch, Tensorfllow, AWS Sagemaker, Google Vertex AI, Azure ML, etc
Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
Strong understanding of marketplace for AI services with ability to develop go-to-market plans with marketing teams
Exceptional expertise in AI engineering, machine learning and data science
A strong passion for empirical research and for answering hard questions with data

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

People also searched

Data Scientist Jobs in East Region (Singapore) Singapore Data Scientist Jobs in Central Region (Singapore) Singapore Data Scientist Jobs in North-East Region (Singapore) Singapore

Company

Overview

1981

Historical Opening

Signifies the year of the airport's establishment, marking its foundational beginnings.

Manages Singapore’s Changi Airport, a global aviation hub known for its excellence.
Oversees daily airport operations, including passenger services, cargo handling, and ground operations.
Development projects focus on enhancing connectivity, capacity, and sustainability.
Notable projects include the Jewel Changi, a mixed-use complex combining retail, entertainment, and nature.
Maintains its position as one of the world’s top airports through continuous innovation.
Operates with a strategic focus on efficiency, safety, and customer experience.

Culture + Values

We value our People.
We succeed with our Partners.
We are committed to our Customers.
We lead in our Business.
Integrity and service are at the heart of everything we do.
Changi Service DNA: Personalised, Stress‑Free, Positively Surprising.
Employees empowered to 'Start Something Today' through innovation programmes (eg: Learnfest, 4D+1i week).
Modern, collaborative workspaces with open-concept desks and social pantries.
Terminal H initiatives: Fun Friday, art‑jamming, fitness & cooking classes.

Environment + Sustainability

2050

Net-Zero Aspiration

Aiming to achieve net-zero emissions by 2050.

20,000 tCO2e

Annual CO2E Reduction

Expansion of solar energy capacity to 43 MWp will reduce CO2 emissions by 20,000 t annually.

2022

Sustainable Aviation Fuel Piloted

First use of Sustainable Aviation Fuel (SAF) in 2022, reducing CO2 emissions for the Singapore Airlines Group.

3–5%

SAF Uptake Target

Target to achieve 3–5% SAF blended fuel usage by 2030 under the Civil Aviation Authority of Singapore (CAAS) levy.

100% electric baggage tractors since 2017; expanding airside charging network to 300+ by mid-2020s.
Transitioning all new airside light vehicles to electric from 2025; full fleet transition to cleaner energy by 2040.
Processed >250 t food waste via digesters across 4 terminals; Airport Carbon Accreditation Level 3.
Green Procurement: lifecycle-based P-Q-E scoring implemented since 2023; 80% wool carpets with reuse/recycling pathways.

Inclusion & Diversity

30% Women by 2025

Board Gender Balance

Target for women on the board and in senior leadership by 2025.

40% Women in Management

Women in Management Roles

As of 2024, women comprise 40% of management roles.

50% Participation Growth

Employee Networks for Women in STEM

Participation in employee networks supporting women in STEM roles grew by 50% from 2022–2024.

≤2% Pay Parity

Gender Pay Parity Metrics

Annual reporting shows a median deviation of ≤2% in gender pay parity by 2024.

Launched structured mentoring and leadership programmes for women in operations and engineering.

Articles

Changi Airport Careers

Corporate Social Responsibility

Changi Airport News

Changi Airport Services

Role

Description

data infrastructure

ai modeling

model ops

experimentation

customer insight

campaign analysis

Develop go-to-market implementations and connect strategy to execution around data infrastructure, AI operating models and GenAI-enabled transformation.
Analyze and interpret the results of marketing/Ops campaigns and/or experiments and recommend enhancements for future campaigns
Solve commercial problems with AI to deliver social and economic value
Create a culture of excellence and lead with confidence, charisma, context, and humility working effectively at all levels
Provide thought-leadership and establish best practices for instrumentation and experimentation and communicate those to EDSM and other Data Science/Analytics teams.
Establish scalable, efficient, automated processes for large scale data analysis, model development, model validation, model implementation and model ops.
Work closely with EDSM team to identify and provide insights for important Customer Intelligence questions
Develop, validate and deliver algorithms, statistical models and analytical insights to achieve business goals

Requirements

phd

ai engineering

pytorch

aws sagemaker

ml ops

communication

Strong track record of leading delivery of AI solutions through incubation, proof-of-concept, to large-scale real-time deployment
M.S. or Ph.D. in a relevant technical field, or 4+ years’ experience in a relevant role
Practical hands-on experience with a broad range of tools to assist in AI development: Jupyter, LLMs, PyTorch, Tensorfllow, AWS Sagemaker, Google Vertex AI, Azure ML, etc
Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
Strong understanding of marketplace for AI services with ability to develop go-to-market plans with marketing teams
Exceptional expertise in AI engineering, machine learning and data science
A strong passion for empirical research and for answering hard questions with data

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

People also searched

Data Scientist Jobs in East Region (Singapore) Singapore Data Scientist Jobs in Central Region (Singapore) Singapore Data Scientist Jobs in North-East Region (Singapore) Singapore

Company

Overview

1981

Historical Opening

Signifies the year of the airport's establishment, marking its foundational beginnings.

Manages Singapore’s Changi Airport, a global aviation hub known for its excellence.
Oversees daily airport operations, including passenger services, cargo handling, and ground operations.
Development projects focus on enhancing connectivity, capacity, and sustainability.
Notable projects include the Jewel Changi, a mixed-use complex combining retail, entertainment, and nature.
Maintains its position as one of the world’s top airports through continuous innovation.
Operates with a strategic focus on efficiency, safety, and customer experience.

Culture + Values

We value our People.
We succeed with our Partners.
We are committed to our Customers.
We lead in our Business.
Integrity and service are at the heart of everything we do.
Changi Service DNA: Personalised, Stress‑Free, Positively Surprising.
Employees empowered to 'Start Something Today' through innovation programmes (eg: Learnfest, 4D+1i week).
Modern, collaborative workspaces with open-concept desks and social pantries.
Terminal H initiatives: Fun Friday, art‑jamming, fitness & cooking classes.

Environment + Sustainability

2050

Net-Zero Aspiration

Aiming to achieve net-zero emissions by 2050.

20,000 tCO2e

Annual CO2E Reduction

Expansion of solar energy capacity to 43 MWp will reduce CO2 emissions by 20,000 t annually.

2022

Sustainable Aviation Fuel Piloted

First use of Sustainable Aviation Fuel (SAF) in 2022, reducing CO2 emissions for the Singapore Airlines Group.

3–5%

SAF Uptake Target

Target to achieve 3–5% SAF blended fuel usage by 2030 under the Civil Aviation Authority of Singapore (CAAS) levy.

100% electric baggage tractors since 2017; expanding airside charging network to 300+ by mid-2020s.
Transitioning all new airside light vehicles to electric from 2025; full fleet transition to cleaner energy by 2040.
Processed >250 t food waste via digesters across 4 terminals; Airport Carbon Accreditation Level 3.
Green Procurement: lifecycle-based P-Q-E scoring implemented since 2023; 80% wool carpets with reuse/recycling pathways.