Senior Data Scientist, Enterprise AI #AIDA

Singtel; Singapore; Presencial; Confidential; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Opportunity to work on high-impact AI use cases

Collaborative, innovative, and inclusive work environment

Competitive salary and benefits package

Descripción de la vacante

Singtel is looking for a Senior Data Scientist to join the AI & Data Analytics team. You will be responsible for designing and deploying scalable AI solutions that enhance decision-making across various business domains. The role requires collaboration with multiple stakeholders to address complex challenges with advanced machine learning techniques.

The ideal candidate has at least 3 years of experience, expertise in machine learning, and a background in a relevant field. Benefits include a competitive salary, professional growth opportunities, and a dynamic work environment.

Formación

• 3+ years of relevant working experience in data science.
• Experience in telecom or insurance sales/marketing analytics.
• Strong problem-solving skills for complex business challenges.

Responsabilidades

• Develop and operationalize advanced AI/ML models.
• Work with stakeholders to translate business challenges into AI solutions.
• Lead data science initiatives focused on enterprise use cases.

Conocimientos

Machine learning

Statistical modelling

Data visualization

SQL

Python

Educación

Bachelor's or postgraduate degree in computer science or related field

Herramientas

Power BI

GitHub

Azure

Descripción del empleo

Powering the Future with AIDA

To lead the next phase of our AI evolution, we’ve launched a new business unit AIDA — Artificial Intelligence & Data Analytics, a strategic engine driving our transformation designed to scale our AI ambitions with precision and purpose.

At Singtel, this is more than a technology upgrade. It’s a strategic transformation that redefines how value is created across the enterprise core—augmenting human capabilities and unlocking entirely new potential. It is a transformation journey by aligning people, platforms, and processes under one cohesive strategy. Our mission is to build AI literacy and foster a culture where intelligence empowers people.

We welcome you to join us on a transformational journey that’s reshaping the telecommunications industry — and redefining what’s possible with AI at its core.

Senior Data Scientist – AI & Data Analytics

As a Senior Data Scientist within the AI & Data Analytics (AIDA) business unit, you will play a critical role in designing and deploying enterprise‑scale AI solutions that drive intelligent decision‑making across Singtel’s business domains. This role goes beyond traditional analytics to focus on high‑impact AI use cases, including pricing optimization, anomaly detection, and predictive intelligence across network, customer, and operational environments.

Key Responsibilities

• Develop and operationalize advanced AI/ML models and simulation frameworks to optimize pricing strategies and revenue outcomes, detect anomalies and risks in real time across large‑scale data systems, and enable proactive, automated decisioning across enterprise workflows.
• Work closely with cross‑functional stakeholders (Network, Finance, Enterprise Business, Product, and Operations) to translate complex business challenges into scalable AI solutions, leveraging advanced machine learning, optimization techniques, and Generative AI where applicable.
• Lead data science initiatives: drive end‑to‑end AI programs focused on enterprise use cases, partnering with business and technical stakeholders to define problem statements and architect scalable AI‑driven solutions aligned with strategic priorities.
• Build and productionise scalable AI pipelines and decision systems, integrating models into enterprise platforms and workflows, ensuring robustness in model governance, explainability, monitoring, and lifecycle management.
• Leverage diverse datasets (network, customer, financial, operational) to uncover insights and enable root cause analysis via anomaly detection, scenario testing via digital twins, and optimisation of business levers such as pricing, capacity, and resource allocation.
• 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.
• Provide technical mentorship and code quality guidance to junior data scientists, collaborate on code reviews, and promote best practices and knowledge sharing within the team.

Qualifications

• Bachelor’s or postgraduate degree in computer science, mathematics, statistics, or a related field, with at least 3 years of relevant working experience.
• Experience in telecom or insurance industries sales/marketing analytics is an advantage.
• Deep technical and data science expertise including: machine learning and statistical modelling (linear regression, GLMs, time series forecasting, supervised learning such as gradient‑boosted trees, neural networks, segmentation, clustering, design of experiments, causal inference); LLMs and Generative AI – fine‑tuning and evaluation of large language models such as GPT and LLaMA, prompt engineering, red‑teaming, performance monitoring; efficient data manipulation (SQL, Python, Spark, Hadoop/Hive, Databricks) and data visualization tools such as Power BI.
• Familiarity with software engineering best practices (modular code design, reproducibility, testing) and version control tools (GitHub, GitLab, Bitbucket).
• Exposure to cloud platforms (Azure, AWS, GCP) and ML lifecycle tools (MLflow, Airflow).
• Strong problem‑solving skills and ability to identify and solve complex business problems through data analysis.
• 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, presenting insights and findings clearly, concisely, and compellingly, both in written and verbal form.
• Experience in mentoring junior team members through collaborative problem solving, pair programming, and constructive code reviews.

Benefits

• Opportunity to work on high‑impact AI use cases across Singtel’s operational and business domains.
• Collaborative, innovative, and inclusive work environment with focus on professional growth and continuous learning.
• Competitive salary and benefits package.

We are an equal opportunity employer. All qualified applicants will receive consideration for employment irrespective of race, color, religion, gender, sexual orientation, age, disability, or veteran status.