Job Description
Western Cape – South Africa
- Lead and mentor a team of Data Scientists to deliver impactful Machine Learning solutions.
- Foster a culture of innovation, collaboration, and continuous improvement.
- Oversee the development, testing, and deployment of Machine Learning models.
- Evaluate and quantify the business impact of analytical solutions.
- Ensure models are accurate, relevant, and fit-for-purpose.
- Serve as the primary liaison between the Data Science team and business stakeholders.
- Translate technical concepts into actionable recommendations for both technical and non-technical audiences.
- Communicate insights effectively, ensuring operational adoption of model outputs.
- Gather, define, and document business and technical requirements for Data Science projects.
- Ensure projects align with strategic business objectives and deliver measurable outcomes.
- Champion best practices in analytics, modelling, and business integration.
- Identify opportunities to improve modelling approaches and operational use of analytics.
- Degree or Honours in Actuarial Science.
- Minimum 7 years experience in the Insurance or Financial Services sector (preferably short-term insurance).
- Proven experience in developing statistical and/or Machine Learning models.
- Demonstrated ability to assess and articulate the business impact of Machine Learning models.
- Previous leadership experience within Data Science, Analytics, or Actuarial teams.
- Experience with Claims Modelling and Survival Analysis/Modelling in the Insurance industry.
- Proficiency in BI tools such as Power BI, Qlik Sense, Tableau, or similar platforms.
- Familiarity with Python, R, SQL, and cloud data platforms such as Snowflake.
- Understanding of data-driven decision-making frameworks.
- Experience in capturing and managing both business and technical requirements.
- Ability to interpret complex model outputs and translate them into clear business recommendations.
- Strong interpersonal, communication, and stakeholder engagement skills.
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