Data Scientist
Data Scientist
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1 Vacancy
Job Description
Job Description
We are partnering with a global leader in the South African financial services sector specializing in risk management and insurance solutions. This organization is at the forefront of leveraging data to drive strategic decisions and enhance business outcomes within the dynamic life insurance landscape. They are known for their commitment to innovation and fostering a data-driven culture aiming to consistently hire top-tier high-performing talent.
This is a pivotal opportunity for a mid-to-senior level Data Scientist to significantly influence the direction and profitability of our clients life insurance portfolio. You will be instrumental in transforming raw data into actionable insights building scalable analytical solutions and directly impacting key business areas through intelligent data utilization. This role requires strong proficiency in Python SQL and Power BI along with the ability to operate independently in a dynamic and often ambiguous environment. A curious mindset strong communication skills and the ability to own the problem from end to end are essential to success.
Performance Objectives for Year One:
- Deliver Actionable Business Insights: Within the first 12 months proactively deliver data-driven insights and robust analytical support across the clients life insurance product portfolio directly contributing to business value creation and informed strategic decision-making. (Work Type: Thinker/Improver)
- Automate & Enhance Reporting Infrastructure: Design develop and implement automated reusable Power BI reports and dashboards for key internal stakeholders across various business units within the first 9 months significantly improving reporting efficiency accuracy and accessibility.
- Drive Predictive Analytics & Process Optimization: Identify opportunities for and implement predictive models using machine learning principles where appropriate and systematically analyze and document existing operational processes within the life insurance domain to unlock new efficiencies and value from data demonstrating measurable improvements within the first year.
- Ensure Data Quality & System Alignment: Take end-to-end ownership of data loading cleaning transformation and validation from diverse sources (files databases APIs). Proactively assist with User Acceptance Testing (UAT) for new product implementations ensuring pricing logic and system configurations align with specifications and conducting root cause analysis for any deviations.
- Cultivate Data-Driven Collaboration: Continuously engage with business users to refine data requirements and validate analytical results. Present complex findings clearly and concisely in a business-ready format to both technical and non-technical stakeholders fostering effective cross-functional collaboration and data literacy.
Profile for Success:
We are seeking a highly analytical and curious individual with a proven track record of solving complex problems and translating data into practical insights within a commercial or financial services environment. You have demonstrated experience in leading projects that involved building scalable analytics solutions and driving data-informed decision-making. Your expertise includes:
- A Bachelors degree in Data Science Computer Science Statistics Mathematics Actuarial Science or a related quantitative field is essential with a postgraduate qualification being advantageous.
- Demonstrated proficiency in Python and SQL for efficient data extraction cleaning and analysis of large datasets.
- Proven experience with business intelligence tools particularly Power BI including data modelling and DAX measures. Familiarity with DAX Power BI or VBA for reporting and automation tasks is beneficial.
- A solid understanding of data infrastructure version control (e.g. Git) and software development principles.
- 3-5 years of experience in data science data analytics or data engineering within a commercial or financial services environment.
- Experience validating data and outputs across multiple sources/systems (UAT or product testing experience advantageous).
- Familiarity with insurance and/or actuarial data preferred; willingness to learn sector-specific concepts is essential.
- Strong critical analytical thinking and attention to detail.
- Creative out-of-the-box problem-solving skills.
- Ability to present complex findings clearly to technical and non-technical stakeholders.
- Strong self-organization time management and the ability to operate independently or collaboratively.
- Intellectual curiosity and drive to continuously learn new tools frameworks and domain knowledge.
Employment Type
Full-Time
