Intern Data Scientist - Regional Advanced Analytics

Hong Kong, Manulife Tower

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

We are looking for a driven and innovative Intern Data Scientist to join our Regional Advanced Analytics team at Manulife. You will play a pivotal role in BU level analytics solution development and commercialization activities that transformed analytical concepts into business actions with measurable benefits.

Responsibilities:

  • Assist with the development and implementation of predictive and prescriptive models.
  • Provide support on create statistically rigorous model scripts to support various business initiatives.
  • Support the team in conducting quantitative analyses to facilitate effective targeting, segmentation, and identification of opportunities to improve customer retention, optimize marketing programs, and enhance operational efficiency.
  • Assist in analyzing and interpreting large datasets to uncover actionable insights that inform marketing strategies and enhance overall business performance and ROI.
  • Work with team members and IT to support ongoing Azure cloud migration efforts, focusing on data validation to maintain data integrity.
  • Help identify data optimization and monetization opportunities.
  • Assist in sourcing external data to enhance our analytics database.
  • Support data governance initiatives to ensure data quality and compliance.
  • Keep abreast of current trends in the analytics field.
  • Share new ideas and methodologies with the team to continuously improve our strategies.

We are looking for someone with:  

  • A university degree or currently pursuing a degree in Data Science, Computer Science, Mathematics, Engineering, Statistics, or a related field.
  • Proficiency in data wrangling, preprocessing, and visualization, with a focus on understanding customer data and global scaling.
  • Familiarity with machine learning techniques and the project lifecycle, from data collection and preprocessing to model development, validation, and deployment.
  • Knowledge of programming languages such as Python, PySpark, and SQL.
  • Some exposure to big data processing frameworks and platforms like Azure, Databricks, or Spark.
  • Good communication skills, with the ability to explain data concepts to both technical and non-technical audiences.
  • Strong problem-solving abilities and a willingness to learn and take initiative.
  • Attention to detail and organizational skills, with a desire to produce high-quality work and scripts.

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 partners and has a positive social and environmental impact.

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

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Tags: Azure Big Data Computer Science Databricks Data governance Data quality Engineering Machine Learning Mathematics ML models PySpark Python Spark SQL Statistics

Perks/benefits: Career development Equity / stock options

Region: Asia/Pacific
Country: Hong Kong

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