Associate, Data Science

4 hours ago

Singapore Singlife Full time

Singlife is a leading homegrown financial services company, offering consumers a better way to financial freedom. Through innovative, technology-enabled solutions and a wide range of products and services, Singlife provides consumers control over their financial wellbeing at every stage of their lives.


In addition to a comprehensive suite of insurance plans, employee benefits, partnerships with financial adviser channels and bancassurance, Singlife offers investment and advisory solutions through its GROW with Singlife platform. It also offers the Singlife Account, a mobile-first insurance savings plan.


Singlife is the exclusive insurance provider for the Ministry of Defence, Ministry of Home Affairs and Public Officers Group Insurance Scheme. Singlife is also an official signatory of the United Nations Principles for Sustainable Insurance and the United Nations-supported Principles for Responsible Investment, affirming its commitment to finding a better way to sustainability.


The merger of Aviva Singapore and Singlife was announced in September 2020 and created one of the largest homegrown financial services companies in Singapore in a deal valued at S$3.2 billion. It was the largest insurance deal in Singapore at the time. Singlife was subsequently acquired by Sumitomo Life in March 2024, one of Japan’s leading life insurers, which valued Singlife at S$4.6 billion, making the transaction one of the largest insurance deals in Southeast Asia.


Responsibilities:

  • Lead the development and deployment of advanced statistical and predictive models to drive business outcomes.
  • Supervise and mentor junior Data Scientists, provide guidance and support in model building, deployment, and monitoring.
  • Collaborate with key stakeholders to understand business needs, set project directions, manage timelines, and ensure deliverables meet expectations.
  • Design and implement innovative data solutions to enhance business processes through AI/ML integration.
  • Conduct experimental designs to attribute value contributions of Data Science models and continuously improve model performance.
  • Research and evaluate new tools and technologies to enhance Singlife’s Data Science capabilities.
  • Promote a culture of high performance and continuous learning within the Data Science team.


Requirements:

  • Proven experience in the financial services industry with a solid understanding of business drivers and the ability to apply data solutions effectively.
  • Extensive experience with large customer data sets, capable of generating insights from complex analyses and communicating results to stakeholders.
  • Track record of building and deploying data science models that deliver measurable value to the business.
  • Strong insurance domain knowledge and familiarity with key risks and profit/cost function optimization.
  • Can lead and guide budding Data Scientists
  • Proficiency in statistical analysis, algorithms, and machine learning methods, including the use of Python and SQL.
  • Experience with data visualization tools such as Qlik, Tableau, or PowerBI.
  • Familiarity with deploying models as a microservice and integrating with backend systems, preferably within AWS components.


Qualifications:

  • Bachelor’s degree or above in Statistics, Computer Science, Mathematics, Business Analytics, Economics, or a related field, with 3-5 years+ of Data Science experience
  • Master’s degree in Statistics, Quantitative Analytics, or an equivalent professional qualification is preferred.

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