Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.
This role will provide significant added values to business leveraging the power of data science (machine learning & deep learning). This role is ideal for the Vietnamese data scientist with in-depth technical knowledge with hands-on experience in Machine Learning with database from banking/ consumer/ finance industry.
Responsibilities:
(1) Build, Deliver & Monitor Data Science models:
- Develop and deploy data science models to solve real-world business problems.
- Communicate insights to stakeholders in a clear and concise way
(2) Explore and Enrich Feature Store:
- Explore and develop new features to enhance the feature store.
- Maintain and improve the quality and relevance of features in the store.
- Work closely with data warehouse engineers and other stakeholders to ensure seamless integration of new features.
(3) Collaborate:
- Communicate with business team to ensure the stability and feasibility of data science projects.
- Work with business team to identify business value contribution of data science models.
- Advise and perform validation on A/B test setup to identify business models performance.
(4) Continuous Improvement:
- Continuously receive feedback from business team, synthesize information & raise suitable action to improve models performance.
- Continuous monitor, evaluate, and improve the data science models, to ensure they are up-to-date and effective.
(5) Continuous Development:
- Involve in team's activity & strengthen team's engagement.
- Identify & develop required skillset that best fit for company & personal career path.
Requirements:
- 3 years or experience working in Data Scientist.
- Experience in deliver and end-to-end data science projects.
- Strong technical understanding of machine learning, statistic, and data mining.
- Strong programming skills (e.g., Python, SQL, ...)
- Technical understanding of A/B test.
- Technical understanding of Big Data technology and open source system.
- Well communicate skill with internal team and external client stakeholder.
- Bachelor’s degree in Mathematics/ Statistics/ Computer Science or related Quantitative discipline
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 individual physical or mental health requirements.
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What We Do
In Asia and Africa, Prudential has been providing familiar, trusted financial security to people for 100 years. Today, headquartered in Hong Kong and London, we are ranked top three in 12 Asian markets with 18 million customers, around 68,000 average monthly active agents and access to over 27,000 bank branches in the region.
Prudential is focused on opportunities in the most exciting growth markets in Asia and Africa. With access to over 4 billion people in both these regions, we are investing in broadening our presence and building our leadership in the life and asset management markets.
We are committed to making a positive impact on our customers, our employees and our communities by delivering the best savings, health and protection solutions to people so they can get the most out of life. Visit our websites for more information
Prudential plc: https://www.prudentialplc.com/
Prudence Foundation: https://www.prudentialplc.com/en/prudence-foundation
