Data Scientist

Singtel Group; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading telecommunications company in Singapore seeks an experienced Data Scientist to uncover customer insights and develop impactful AI/ML solutions. This role involves leading data science initiatives, collaborating with cross-functional teams, and driving data-informed decisions to enhance customer experiences and revenue. Ideal candidates should have a relevant degree and strong skills in machine learning, data manipulation, and communication.

Qualifications

• At least 1 year of relevant working experience.
• Strong problem-solving skills to address complex business issues through data analysis.
• Team player with a customer-focused mindset.

Responsibilities

• Lead Data Science initiatives and identify high-value opportunities.
• Develop AI/ML solutions and integrate analytical models into decision engines.
• Conduct customer behavior analysis to drive revenue growth.
• Explore data and execute A/B tests for marketing campaigns.
• Communicate analytical findings clearly to diverse audiences.
• Follow best practices in coding and collaborate effectively.
• Stay updated on industry trends in AI/ML.

Skills

Machine Learning & Statistical Modelling

Data manipulation (SQL, Python, Spark, Hadoop/Hive, Databricks)

Data visualization (Power BI)

Excellent communication skills

Problem-solving skills

Education

Bachelor or Postgraduate degree in computer science, mathematics, statistics, or a related field

Tools

GitHub

GitLab

Bitbucket

Job description

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An empowering career at Singtel begins with a Hello. Our purpose, to Empower Every Generation, connects people to the possibilities they need to excel. Every "hello" at Singtel opens doors to new initiatives, growth, and BIG possibilities that takes your career to new heights. So, when you say hello to us, you are really empowered to say…“Hello BIG Possibilities”.

Be a Part of Something BIG!

As a Data Scientist, you will play a pivotal role in uncovering deep customer insights and developing AI/ML solutions that unlock business value across Singtel’s core product lines – including Mobile, Broadband, TV and Enterprise services. Embedded within the AI & Data Analytics (AIDA) business unit, your work will enable the identification of cross-sell and up-sell opportunities, support personalised engagement strategies and drive data-informed decisions to unlock new revenue streams and enhance customer lifetime value.

This role sits at the intersection of data, AI / ML, and marketing, serving as a key enabler in translating the company’s AI vision into impactful, data-driven solutions. You will collaborate closely with cross-functional teams across Marketing, IT, Analytics, and external partners to develop, validate, and operationalize machine learning models and GenAI applications that are deeply integrated into enterprise platforms and architected for scalability and long-term growth.

Make An Impact By

• Lead Data Science Initiatives: Work closely with business stakeholders to identify high-value opportunities, define problem statements, and architect end-to-end AI/ML solutions (including Generative AI and LLM implementations) that align with organizational objectives.
• Model Development & Integration: Design, build, and integrate analytical models into a customer-centric decision engine. Champion best practices for model deployment, scalability, and monitoring in production environments.
• Customer Behavior Analysis: Apply cutting-edge techniques to uncover insights on customer behavior, life stages, affluence, and interests across Singtel’s products and services. Deliver actionable recommendations to enhance customer experiences and drive revenue growth.
• Data Exploration & Experimentation: Enable robust data exploration, insight discovery, and experimentation for lifecycle marketing campaigns. Devise and execute rigorous A/B tests, segmentations, and optimization strategies to continuously improve business outcomes.
• Stakeholder Communication: Communicate complex analytical findings and recommendations to diverse audiences—ranging from technical teams to senior leadership—in a clear, concise, and compelling manner.
• Coding Standards & Technical Practice: Follow best practices in coding, version control, and documentation to ensure collaboration and reproducibility. Gain exposure to production workflows and cloud-based environments with a focus on cost efficiency and performance.
• Continuous Learning: Stay updated on industry trends, new tools, and techniques in AI/ML/GenAI and customer analytics. Proactively seek opportunities to apply new knowledge to business problems.

Skills for Success:

• Bachelor or Postgraduate degree in computer science, mathematics, statistics, or a related field, with at least 1 years of relevant working experience.
• Deep technical and data science expertise, demonstrating proficiency in:
  • Machine Learning & Statistical Modelling: Including linear regression, GLMs, time series forecasting, supervised learning (e.g., gradient boosted trees, neural networks), segmentation, clustering, design of experiments, and causal inference.
  • Efficient data manipulation (with skills in SQL, Python, Spark, Hadoop/Hive, and Databricks) and data visualization (using tools like 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
• 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.

Are you ready to say hello to BIG Possibilities?

Take the leap with Singtel to unlock new opportunities and accelerate your growth. Apply now and start your empowering career!