Senior Data Engineer

Manulife Financial; Daerah Khusus Ibukota Jakarta; Hybrid; IDR 200.000.000 - 300.000.000; Full time

Job summary

A leading financial services company in Jakarta is seeking a Senior Data Scientist to drive innovation and data-driven decision-making. In this role, you will leverage analytics and machine learning to transform complex data into actionable insights. The ideal candidate will have over 5 years of experience, proficiency in PySpark and data visualization tools, and strong communication skills. This position supports a hybrid working arrangement.

Benefits

Opportunity for career growth

Flexible work environment

Supportive global team

Qualifications

• 5+ years of experience in data science, machine learning, or a related field.
• Proficiency in PySpark/Python and data visualization tools.
• Strong understanding of A/B testing and predictive analytics.

Responsibilities

• Lead end-to-end development of machine learning models and data pipelines.
• Analyse large, complex datasets to identify trends and insights.
• Mentor junior data scientists and contribute to team knowledge sharing.

Skills

Data analysis

Machine learning

Statistical modeling

Data visualization

Stakeholder management

Education

Bachelor’s or master’s degree in Mathematics, Statistics, Computer Science

Tools

PySpark

Power BI

Azure

AWS

GCP

Job description

The Senior Data Scientist role presents a strategic opportunity to drive innovation and data-driven decision-making across the organization. This position is pivotal in transforming complex data into actionable insights, enabling smarter business strategies and enhancing customer experiences. By leveraging advanced analytics, machine learning, and AI technologies, the successful candidate will contribute to the development of scalable solutions that align with our mission of delivering ethical, efficient, and personalized financial services.

This role is critical for enabling scalable analytics, machine learning workflows, and data-driven decision-making across the organization. You will collaborate with data scientists, analysts, and product teams to ensure data quality, accessibility, and reliability.

Position Responsibilities

• Lead end-to-end development of machine learning models and data pipelines.
• Analyse large, complex datasets to identify trends, patterns, and actionable insights.
• Collaborate with product, engineering, and business stakeholders to define data-driven strategies.
• Mentor junior data scientists and contribute to team knowledge sharing.
• Communicate findings through compelling data storytelling and visualizations.
• Stay current with the latest advancements in data science and AI.

Required Qualifications

• Bachelor’s or master’s degree in Mathematics, Statistics, Computer Science or a related field.
• 5+ years of experience in data science, machine learning, or a related field.
• Proficiency in PySpark/ Python and data visualization tools (Power BI).
• Experience with ML frameworks, development and deployment.
• Strong understanding of statistical modelling, A/B testing, and predictive analytics.
• Excellent communication and stakeholder management skills.

Preferred Qualifications

• Experience with cloud platforms (Azure, AWS, GCP).
• Familiarity with big data tools (e.g., Spark, Hadoop)
• Domain expertise in banking or healthcare is a plus.

When you join our team

• We’ll empower you to learn and grow the career you want.
• We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
• As part of our global team, we’ll support you in shaping the future you want to see.

關於宏利和恒康

宏利金融公司是一家業界領先的國際金融服務商，致力於幫助人們實現「輕鬆投資理財，樂享豐盛人生」。若要進一步了解我們，請瀏覽 https://www.manulifeim.com/institutional/tw/en。

宏利是平等機會僱主

在宏利／恒康，我們擁抱多元。我們致力於吸引、培養及挽留和所服務客戶同樣多元的員工，並從而營造包容的工作環境，接納文化和個體差異。我們矢志維持公平的招聘、挽留、晉升及薪酬制度，我們管理的所有實踐及項目不會因種族、血統、原籍地、膚色、族裔、國籍、宗教或宗教信仰、信仰、性別（包括懷孕及其相關情況）、性取向、遺傳特徵、退伍軍人身份、性別認同、性別表達、年齡、婚姻狀況、家庭狀況、殘疾或受適用法律保護的任何其他因素而區別對待。

我們的首要任務是消除障礙，為員工提供平等就業機會。人力資源部代表將盡力為應徵過程中提出要求的申請人提供合理協助。申請人要求提供協助所分享的信息將會按照適用法律及宏利／恒康政策儲存及使用。應徵過程中如需協助，請聯絡 [e-mail]。

Working Arrangement

混合式