Senior Data Scientist, Marketing AI #AIDA

Singtel; Singapore; On-site; Confidential; Full time

Job summary

Singtel is looking for a Senior Data Scientist to lead AI and data analytics initiatives. You will drive projects collaborating with various stakeholders to align with strategic objectives.

The ideal candidate should have a background in data science with at least 3 years of experience and strong skills in machine learning, SQL, and data visualization tools.

Mentorship of junior team members and clear communication of insights to both technical and non-technical audiences is essential for this role.

Qualifications

• At least 3 years of relevant working experience.
• Telecom or Insurance industry analytics experience is a plus.
• Strong problem-solving skills in data analysis.

Responsibilities

• Drive AI/ML projects supporting Singtel’s offerings.
• Design and productionize analytical models.
• Leverage behavioral data for insights.
• Provide technical mentorship to junior team members.
• Communicate findings to diverse audiences.

Skills

Machine Learning & Statistical Modelling

LLMs & Generative AI

SQL

Python

Spark

Data Visualization

Education

Bachelor or Postgraduate degree in computer science, mathematics, statistics

Tools

Power BI

Hadoop/Hive

Databricks

Azure

AWS

GCP

Job description

Senior Data Scientist – AI & Data Analytics (AIDA) at Singtel.

Make An Impact By

• Lead Data Science Initiatives: Drive AI/ML projects supporting Singtel’s product and service offerings by working closely with stakeholders from Marketing, Product, and external partners. Define problem statements and architect end‑to‑end solutions, leveraging Generative AI and LLMs where applicable to align with strategic objectives and regulatory requirements.
• Model Development & Integration: Design, build, and productionize analytical models that enable intelligent decisioning within customer journeys. Integrate these models into customer‑centric decision engines while championing best practices around model governance, scalability, explainability, and continuous performance monitoring.
• Customer Behavior & Lifecycle Analysis: Leverage customer behavioural data across Singtel’s Mobile, Broadband, and entertainment services to uncover actionable insights. Maintain and enhance analytical models that inform segmentation, product targeting, and value‑based engagement strategies. Enable data exploration, insight discovery, and controlled experimentation (e.g., A/B testing, uplift modelling) to support lifecycle marketing and campaign optimisation.
• Data Exploration & Experimentation: Enable robust data exploration, insight discovery, and experimentation for lifecycle marketing campaigns. Devise and execute rigorous A/B tests, segmentations, and optimisation strategies to continuously improve business outcomes.
• Technical Mentorship & Code Quality: Provide guidance to junior data scientists and collaborate on code reviews to ensure adherence to best practices, maintain high code quality, and promote knowledge sharing within the team.
• Stakeholder Communication: Communicate complex analytical findings and recommendations to diverse audiences—from technical teams to senior leadership—in a clear, concise, and compelling manner.

Skills For Success

• Bachelor or Postgraduate degree in computer science, mathematics, statistics, or a related field, with at least 3 years of relevant working experience.
• Telecom or Insurance industry sales/marketing analytics experience is an advantage.
• Deep technical and data science expertise, demonstrating proficiency in:
• Machine Learning & Statistical Modelling: linear regression, GLMs, time series forecasting, supervised learning (e.g., gradient‑boosted trees, neural networks), segmentation, clustering, design of experiments, and causal inference.
• LLMs & Generative AI: fine‑tuning and evaluation of large language models (e.g., GPT, LLaMA), prompt engineering, red‑teaming, and performance monitoring.
• Efficient data manipulation: skills in SQL, Python, Spark, Hadoop/Hive, and Databricks, plus data visualization using tools such as Power BI.
• Familiar with software engineering best practices, including modular code design, reproducibility, and testing. Proficient with version control tools such as GitHub, GitLab, and Bitbucket.
• Exposure to cloud platforms (e.g., Azure, AWS, GCP) and ML lifecycle tools (e.g., MLflow, Airflow).
• Strong problem‑solving skills, with the ability to identify and solve complex business problems through data analysis.
• A team player with a customer‑focused mindset, able to work well in a team and passionate about delivering exceptional customer experiences.
• Excellent data visualization and communication skills, with the ability to present insights and findings in a clear, concise, and compelling manner, both in written and verbal form.
• Experience in mentoring junior team members through collaborative problem solving, pair programming, and constructive code reviews.