Data Scientist

7 days ago

Singapore SINGAPORE TELECOMMUNICATIONS LIMITED Full time

**Data Scientist - Consumer Group
In Singtel’s Group Consumer, 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 Consumer Business and aims to make customer centricity decisions driven by advanced analytics. We are looking for a **Data Scientist, **who is passionate in delivering business impact through analytics and machine learning.

The Data Scientist role for the Consumer Business, assumes a key role in supporting our efforts in Data Monetization and Marketing, and the responsibilities include a hands-on aspect on Data Mining, building and maintaining Machine Learning models 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.

**Responsibilities**
- Work with Business stakeholders to translate opportunities and problem statements, architect and implement ML/ AI technologies/solutioning and present results and insights to business stakeholders.
- 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
- Drive customer success as a key contributor to the Customer Success squad and Singtel-wide initiatives
- Enable data exploration, insight discovery, and experimentation for life cycle marketing campaigns
- Communicate data insights and findings to wider audiences within Singtel

**We are committed to a safe and healthy environment for our employees & customers and will require all prospective employees to be fully vaccinated.
**Required Skills and Qualifications**
- Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field, with 2 years’ 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., random forests, neural networks), 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 Tableau / 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.

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