Data Scientist (Life) at Momentum Metropolitan Holdings Limited

Role Purpose    

• The primary purpose of this role is to deliver actionable insights, robust analytics, and data-driven support across Guardrisk Life’s portfolio. This is a mid-to-senior level Data Scientist role within the Data Analytics Life team, focused on unlocking business value through intelligent use of data.

Requirements    

• Bachelor’s degree in sciences or engineering with a strong focus on computer science, statistics, mathematics and/or actuarial sciences
• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Actuarial Science, or a related quantitative field
• Postgraduate qualification in a relevant field advantageous
• Proficiency in Python and SQL is essential

Beneficial:

• Familiarity with DAX, Power BI, or VBA for reporting and automation tasks
• Solid understanding of data infrastructure, version control (e.g., Git), and software development principles3–5 years of experience in data science, data analytics, or data engineering within a commercial or financial services environment
• Experience working with large datasets in SQL and Python, with the ability to extract, clean, and analyse data efficiently
• Experience with business intelligence tools, particularly Power BI, including data modelling and DAX measures
• Experience validating data and outputs across multiple sources/systems (UAT or product testing experience advantageous)
• Familiarity with insurance and/or actuarial data preferred

Duties & Responsibilities    

• Predictive modelling capability
• Familiarity with machine learning principles, with the ability to implement models when appropriate
• Critical analytical thinking and strong attention to detail
• Creative, out-of-the-box problem solving
• Ability to load, clean, and transform data from various formats (files, databases, APIs)
• Validate and enrich data using external/internal sources
• Feature engineering capabilities
• Ensure data version control and integrity for audit purposes
• Use BI tools (e.g., Power BI) to generate actionable insights
• Build automated, reusable Power BI reports for stakeholders across business units
• Present insights in a format that is both technically accurate and business-ready
• Understand operational insurance environments and the data flows within them
• Analyse and document business processes to unlock value from data
• Assist with user acceptance testing (UAT) for product implementations, ensuring pricing logic and system configuration align with specifications
• Conduct root cause analysis when test results deviate from expected outcomes
• Ability to present complex findings clearly to technical and non-technical stakeholders
• Proactively engage with business users to refine requirements and validate results
• Intellectual curiosity and drive to continuously learn new tools, frameworks, and domain knowledge
• Ability to understand and break down insurance processes and translate them into business and data requirements
• Identify opportunities for process automation
• Understanding of insurance and product lifecycles is advantageous; willingness to learn sector-specific concepts is essential

Competencies    

• Data Mining
• Stakeholder engagement and Teamwork
• Data Visualisation and Communication
• Self-Awareness and Insight
• Programming and Logical Thinking
• Diversity and Inclusiveness
• Strong self-organization and time management
• Self-starter with the ability to manage deadlines, escalate blockers, and deliver high-impact work with minimal supervision
• Comfortable working independently or collaboratively in a team
• Effective collaboration across technical and non-technical teams
• Analytical creativity and problem-solving mindset
• Clear and concise communicator
• High attention to detail

Deadline:24th July,2024