Job description
Prudential's purpose is to help people get the most out of life. We will deliver our purpose by creating a culture in which diversity is celebrated and inclusion assured, for our colleagues, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and in exchange, we support our people's career ambitions. We pledge to make Prudential a place where you can Connect, Grow and Succeed.
Job Profile Summary:
In this role, you will work with existing data analysts and subject matter experts in all parts of the insurance business to deploy complex analytics to enable business to make better decisions. As part of this dynamic role, you will report to Section Head, and work closely with business units and other IT teams to deliver leading edge predictive and prescriptive analytics to enable digital capabilities of Prudential Singapore.
Job Description:
- Implement predictive / prescriptive analytics within IT projects
- Key stakeholders engagement to develop a clear understanding of complex data needs
- Develop analytic use cases that clearly define business problems that can be addressed through the application of Big Data tools and techniques, in line with the strategic roadmap.
- Develop standardized processes to identify, source, test and utilise unstructured, external and/or “open” data sets to enhance traditional analytic approaches relying on internal/structured data
- Assist other Data Scientist in the operationalisation and automation of Big Data analytic outputs
- Educate key stakeholders on the application of Big Data analytics in addressing business issues and opportunities.
- Implementation of cognitive technology in the area of Natural Language Processing / Understanding (NLP / NLU), and image recognition (Optical Characters Recognition, image processing & recognition).
Who we are looking for:
Competencies & Personal Traits
- Independent and works well across different functions
- Passion and deep technical competency in quantitative methods and/or business analytics
- Self-motivated to continuously upgrade one's domain knowledge, research new tools and technologies, keep abreast of latest developments in data science and evaluate their application in key business domains on a consistent basis
- Strong sense of drive and commitment to deliver on responsibilities
- Strong verbal and written communication skills.
- Ability to translate and articulate technical thoughts and ideas to a larger audience including influencing skills with peers and senior management
- Ability to lead analytic discussions with business partners as well as data scientists to guide discussions to help formulate business problems and generate ideas for solutions
- Works well in a dynamic environment
- Strong partnership and communication skills to be able to work with people across a wide variety of skills, expertise, geographies and seniority
- Ability and willingness to be hands-on
- Experience in the following technology
- Hands-on experience in Big Data applications/solutions such as Hive, HortonWorks, No-SQL etc. Knowledge of Hadoop/grid based programming for large scale problem solving
- Working knowledge of Hadoop and integrations for data ingestion, data mapping and data processing capabilities
- Experience with enriching in-house data with new internal and external data sources to improve accuracy of models / predictions
- Experience with analytical model implementations, data storage and distribution
- Programming experience in SAP BOE, SAS, R and/or Python. Experience in data visualization applications (Qlik) a plus
- Experience in data mining techniques and tools (SAS and/or other modeling packages like Matlab, Mathematica, ILOG etc)
- Experience in integrating analytics models with applications using Java and API / microservices.
- Experience with text mining, with large volumes of data, creating insights, segmentation, clustering using unstructured data sets.
Working Experience
- 2-8 years in quantitative modelling oriented discipline including but not limited to Statistics, Marketing Science, Operations Research, Machine Learning, etc.
- Fresh graduates are welcome to apply
Professional Qualifications
- Nil
Education
- Bachelor in relevant field (computer science, engineering, statistics, economics). Master or PhD qualification would be a plus.
Language
- Fluent written and spoken English
Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with special requirements.
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