Data Science Manager - Customer Insight (prudential)

Job Description

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 lead a team of data scientist, focus on integrating and centralizing customer data, explore customer's insight, developing advanced analytics models, and driving data-driven decision-making across the organization. The ideal candidate will have a strong background in big data technologies and data warehousing.

Job Responsibilities

• (1) Customer Data Warehouse Development:
  - Design, build, and maintain a scalable Customer Data Warehouse that consolidates customer data from multiple sources (CRM, CEP, transactional systems, web analytics, etc.) to create a unified view of customer interactions.
• (2) Explore & Enrich Customer Behavior Data:
  - Conduct in-depth analyses of customer behavior data to identify trends, preferences, and patterns. Enrich customer profiles by integrating additional data sources (e.g., social media, third-party data) to enhance understanding of customer motivations and behaviors.
• (3) Advanced Analytics Model Development:
  - Lead the development of advanced analytics models, including Customer Lifetime Value (CLV), Customer Retention, and segmentation models, utilizing big data technologies.
• (4) Team Leadership:
  - Mentor and lead a team of data scientist. Foster a collaborative and innovative environment that encourages professional growth and development.
• (5) Collaborate and Advise:
  - Engage with regional teams to align customer analytics initiatives with local market needs and strategies. Facilitate workshops and meetings to gather insights and feedback from regional stakeholders, ensuring that the data warehouse and analytics models are tailored to support regional objectives.
• (6) Continous Development:
  - Keep abreast of industry trends, best practices, and emerging technologies in big data analytics and customer insights. Evaluate and recommend new tools and methodologies to enhance analytics capabilities.

Job Requirements

• 5 years or experience working in Data Scientist, with a focus on customer behavior data and recommendation models.
• Strong technical understanding of machine learning, statistic, and data mining.
• Familiarity with MLOps and DevOps practices for managing data pipelines and model deployment. Knowledge of Feature Stores and their implementation in data workflows.
• Strong programming skills (e.g., Python, SQL, ...)
• Strong understanding of data quality delivery(term, process, framework, tools, ...).
• Experience in big data frameworks such as Hadoop and Spark, and experience with data processing tools. Experience with Linux environments and command-line tools.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively across teams and regions.

 

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.