Senior Data Scientist
Hong Kong, Manulife Financial Centre
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.We are a leading financial services provider committed to making decisions easier and lives better for our customers and colleagues around the world. From our environmental initiatives to our community investments, we lead with values throughout our business. To help us stand out, we help you step up, because when colleagues are healthy, respected and meaningfully challenged, we all thrive. Discover how you can grow your career, make impact and drive real change with our Winning Team today.
Working Arrangement
HybridJob Description
The Opportunity
The position serves as Senior Data Scientist in the Advanced Analytics team in Manulife Hong Kong and reports to the head of advanced analytics HK, focusing on customer, marketing & sales journey using advanced analytics techniques.
We are seeking a highly skilled and experienced data scientist to join our Advanced Analytics team who will play a vital role in BU level analytics solution development and commercialization activities that transformed analytical concepts into business actions with measurable benefits
Responsibilities:
Development of analytics and data solutions to drive profitable growth on buy/sell journey.
Work closely with marketing and other business teams to identify business needs and develop data driven solutions that drive growth
End to End development and delivery of advanced predictive/ prescriptive models and statistically rigorous model scripts to support business initiatives.
Conduct advanced quantitative analyses facilitating effective targeting, segmentation, and identification of opportunities around cross-sell / up-sell, retention, and marketing program optimization, operational efficiencies and inforce management (policy persistency, underwriting, and claims)
Analyze and interpret large datasets to uncover actionable insights and trends that can be used to optimize marketing strategies, enhance customer experience and improve overall business performance and ROI
Collaborate with the team and with IT to support on-going Azure cloud migration in relation to analytics data validation to keep data integrity
Supporting analytics data strategy focusing on data optimization/monetization opportunities using internal data, identifying external data sources to enrich Manulife analytics data base, as well as supporting data governance initiatives
Maintain knowledge of current and emerging developments / trends in the analytics space and collaborates with the team to incorporate new ideas in current and future strategies
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 approach 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.
What we are looking for
University degree with a quantitative degree, such as Statistics, Actuarial, Quantitative Analysis for Business, Science, Economics or Mathematics
At least 4 years of experience in Advanced Analytics, preferably within the retail financial services industry, Insurance is a plus.
Solid experience of delivering Machine learning model end to end, run a complete cycle from data preparation from scratch to final model building and scoring, followed by model performance tracking after the model deployment in production
Fully hands-on experience of building generalized linear models and/or supervised ML model and/or Deep learning models and/or clustering, and/or text analytics/NLP
Proficient in both SQL and Python programming and familiar with Spark/PySpark/ Databricks /Hive
Familiar with Azure, GCP, etc cloud platforms a plus
Hands-on GenAI business application experience a plus
Any digital analytics experience is a plus, eg) Adobe analytics, Adobe target.
Strong experience in deploying analytics including targeting, test and control development, response tracking and analysis
Experience on MLOps a plus
Strong communication and presentation skills. Ability to present data reports/ analyses and statistics in a simple and clear way.
Ability to think and work creatively around the constraints of the existing business to devise valuable experiments
Ability to communicate by recommending implementable solutions to business partners with storytelling and considers change management in all aspects of work
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
Excellent time and project management skills as well as motivation to succeed in a fast-paced environment
What can we offer you?
A competitive salary and benefits packages.
A growth trajectory that extends upward and outward, encouraging you to follow your passions and learn new skills.
A focus on growing your career path with us.
Flexible work policies and strong work-life balance.
Professional development and leadership opportunities.
Our commitment to you
Values-first culture
We lead with our Values every day and bring them to life together.Boundless opportunity
We create opportunities to learn and grow at every stage of your career.Continuous innovation
We invite you to help redefine the future of financial services.Delivering the promise of Diversity, Equity and Inclusion
We foster an inclusive workplace where everyone thrives.Championing Corporate Citizenship
We build a business that benefits all stakeholders and has a positive social and environmental impact.
Learn more about opportunities with us at www.manulife.com/en/careers/why-join-us.html
About Manulife and John Hancock
Manulife Financial Corporation is a leading international financial services group that helps people make their decisions easier and lives better. With our global headquarters in Toronto, Canada, we operate as Manulife across our offices in Asia, Canada, and Europe, and primarily as John Hancock in the United States. We provide financial advice, insurance, and wealth and asset management solutions for individuals, groups and institutions. At the end of 2022, we had more than 40,000 employees, over 116,000 agents, and thousands of distribution partners, serving over 34 million customers. At the end of 2022, we had $1.3 trillion (US$1.0 trillion) in assets under management and administration, including total invested assets of $0.4 trillion (US $0.3 trillion), and segregated funds net assets of $0.3 trillion (US$0.3 trillion). We trade as ‘MFC’ on the Toronto, New York, and the Philippine stock exchanges, and under ‘945’ in Hong Kong.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Azure Clustering CX Databricks Data governance Data strategy Deep Learning Economics GCP Generative AI Machine Learning Mathematics MLOps Model deployment NLP PySpark Python Spark SQL Statistics
Perks/benefits: Career development Competitive pay Equity Flex hours Insurance Team events
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