Data Scientist

1 month ago

Singapur, Singapore Singtel Full time

At Singtel, our mission is to Empower Every Generation. We are dedicated to fostering an equitable and forward-thinking work environment where our employees experience a strong sense of Belonging, to make meaningful Impact and Grow both personally and professionally. By joining Singtel, you will be part of a caring, inclusive and diverse workforce that creates positive impact and a sustainable future for all.

Be a Part of Something BIG 

In Singtel Singapore, we are driven by a customer centric culture that guides us in what we do. The Advanced Analytics team is an integral part of the Singtel Singapore and aims to make customer centricity decisions driven by advanced analytics. We are looking for a  Senior Data Scientist,  who is passionate in delivering business impact through analytics and machine learning.

The Senior Data Scientist role assumes a key role in supporting our efforts in insights discovery and ML model development to effectively predict and anticipate market changes, and how it impacts our Business. The role also influences every key decision we make in our business operations to develop new insights and grow new revenue streams.

Make an Impact by:

Work with Business stakeholders to translate opportunities and problem statements, architect and implement ML/ AI solutions, including Generative AI and LLM Design and integrate analytical models into a customer-centric decision engine Work on customer behaviour analysis to uncover insights related to Singtel’s product and service offerings Enhance and maintain data & analytical models related to customer interactions, life stage, affluence, and interests Enable data exploration, insight discovery, and experimentation for life cycle marketing campaigns Communicate data insights and findings to wider audiences within Singtel

Skills for Success

Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field, with at least 3 years’ of relevant working experience. Hands-on experience in integrating analytical models into decision-making processes, collaborating with stakeholders, and turning insights into actionable decisions. Deep technical and data science expertise, demonstrating proficiency in: Analytical techniques: Statistical modelling (e.g., linear regression, GLMs, time series), supervised machine learning (e.g., Gradient Boosted Tree, Neural Networks), Generative AI, LLMs, design of experiments, segmentation/clustering, text mining, network analysis, optimization, simulation Analytics tools: Efficient data manipulation (with skills in SQL, Python, Spark, Hadoop/Hive, and Impala) and data visualization (using tools like Power BI). Solid track record of deploying machine learning algorithms in production environment. 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. Familiar with code review processes, including the ability to review and improve the quality of code written by other team members to ensure best practices and optimal performance. 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.

Rewards that Go Beyond

Full suite of healt

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