Data Scientist

Manulife Tower, Manulife (Singapore) Pte Ltd

Manulife

Manulife is a leading financial services group. We provide financial advice, insurance, as well as wealth and asset management solutions for individuals, groups and institutions.

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The Opportunity 

The customer is the focus of everything we do, and millions of end users rely on our products daily. We believe in the value of empowering our employees with the resources to solve critical problems for the future of our business, which is why we need you. 

The candidate will be a part of the Advanced Analytics team and will be tasked with assisting in the development and execution of robust analytical solutions to various parts of the Singapore business. The candidate must have a passion for how data can be leveraged and used to drive deeper, meaningful insights that enhance the customer experience, grow our businesses, minimize risk and engage our employees.

What motivates you? 

  • You obsess about customers, listen, engage and act for their benefit 
  • You think big, with curiosity to discover ways to use your agile mindset and enable business outcomes 
  • You thrive in teams, and enjoy getting things done together
  • You take ownership and build solutions, focusing on what matters 
  • You do what is right, work with integrity and speak up
  • You share your humanity, helping us build a diverse and inclusive work environment for everyone 

We are looking for someone with: 

  • University degree with a quantitative degree, such as Statistics, Quantitative Analysis for Business, Economics or Mathematics.
  • At least 3 to 6 years’ experience in the application of Data Science / Advanced Analytics
  • Passionate about achieving positive results in the business.
  • Strong in numerical and analytical skills.
  • Ability to think and work creatively around the constraints of the existing business to devise valuable experiments
  • A team player with the ability to successfully manage interaction with internal clients and work independently and within a team environment with professionalism and collaboration.
  • Hands-on experience of multivariate analysis, modeling, segmentation and customer analytics using statistical techniques.
  • Proficient in data mining tools with a deep knowledge of at least one statistical and/or simulation package (e.g. Python, STATA, R, SAS Base, Matlab) and understand databases (e.g. SQL) and have working knowledge in one procedural computer language (e.g. C, VB, Python, Real Studio)
  • Strong communication and presentation skills with the ability to present data reports/analyses and statistics in a simple and clear way. Evidence of ability to persuade a wide range of colleagues

Nice to Have:

  • Experience in campaign management including targeting, test and control development, response tracking and analysis.
  • Experience in analytics project management.
  • Experience in Web Analytics such as Adobe Analytics or Google Analytics is an advantage

On the job you will: 

  • Develop advanced predictive / prescriptive models to support analytics initiatives across key themes such as:
    • CRM / Lead management
    • Campaign Design & Monitoring
    • Operational efficiency
  • Assist with the development and implementation of a robust data analytics infrastructure to enable the delivery of analytical based solutions into the business.
  • Work with regional and BU teams to identify business use cases and develop solutions to meet these needs using analytical approaches such as:
    • Segmentation models
    • Propensity models
    • Cluster analysis
    • Text mining
  • Participate in initiatives including campaign tracking, contact and response management, test-and-learn recommendations to improve performance of solutions delivered to the business.
  • Participate in regionally led peer-review process to validate model develop rigor.
  • Participate in digital analytics initiatives to establish measures of success of our digital programs for both internal and external digital solutions.
  • Work with internal stakeholders and external vendors / partners on the enrichment of customer database and augmentation via 3rd party data providers. 
  • Manage regular reporting and ad-hoc data extract from other departments.

 Our commitment to you 

  • Our mission; to be a part of making Decisions Easier and Lives Better
  • A leadership team dedicated to your growth and success 
  • A bold ambition and set of goals to be a leader in driving transformation in our industry 
  • Our best. Every day. 

Learn more about opportunities with us at jobs.manulife.com    

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact recruitment@manulife.com.

Working Arrangement

Hybrid
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Data Science Jobs

Tags: Agile Cluster analysis CX Data Analytics Data Mining Economics Mathematics Matlab Python R SAS SQL Stata Statistics

Region: Asia/Pacific
Country: Singapore

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