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Western Cape: Actuarial Business Analyst (Data Science and Machine Learning Focused) posted by Datafin

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Job Description

Actuarial Business Analyst (Data Science and Machine Learning Focused)IT – Analyst, Data Management
Western Cape – South Africa

ENVIRONMENT:
OUR client is redefining how insurance and technology work together and is looking for an experienced Actuarial Business Analyst with a strong focus on leading a team of Data Scientists to design, develop, and implement Machine Learning models. The role involves evaluating and quantifying the business impact of these models, translating complex analytical outputs into clear, actionable insights, and ensuring operational teams fully understand and leverage the results. You will act as the key bridge between Data Science and business, driving measurable value through advanced analytics. The successful incumbent must possess an Honours/Degree in Actuarial Science with 7 years experience in the Insurance or Financial Services sector (preferably short-term insurance) including proven experience in developing statistical and/or Machine Learning models. You also require proficiency in BI tools such as Power BI, Qlik Sense, Tableau, or similar platforms.
DUTIES:
Leadership & Team Management –
  • Lead and mentor a team of Data Scientists to deliver impactful Machine Learning solutions.
  • Foster a culture of innovation, collaboration, and continuous improvement.
Model Development & Evaluation –
  • 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.
Stakeholder Engagement –
  • 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.
Project & Requirements Management
  • Gather, define, and document business and technical requirements for Data Science projects.
  • Ensure projects align with strategic business objectives and deliver measurable outcomes.
Best Practice & Process Improvement –
  • Champion best practices in analytics, modelling, and business integration.
  • Identify opportunities to improve modelling approaches and operational use of analytics.
REQUIREMENTS:
Qualifications
  • Degree or Honours in Actuarial Science.
Experience/Skills
  • 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.
Preferred / Advantageous:
  • 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.
ATTRIBUTES:
  • Ability to interpret complex model outputs and translate them into clear business recommendations.
  • Strong interpersonal, communication, and stakeholder engagement skills.
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About Other IT/Computer Jobs in Western Cape

The Western Cape, situated on the south coast of South Africa, is home to a thriving IT industry that offers a diverse range of career opportunities for professionals with expertise in various fields.

The job market in the Western Cape is highly competitive, with many major companies and startups operating in the region. The province’s strategic location, combined with its well-developed infrastructure, makes it an attractive hub for businesses looking to establish themselves in Africa. As a result, there is a high demand for skilled IT professionals who can support the growth of these companies.

The average salary ranges for IT professionals in the Western Cape are as follows: software engineers and developers can expect to earn between R800 000 to R1 200 000 per annum; data scientists and analysts can range from R600 000 to R900 000; cybersecurity specialists can earn anywhere from R500 000 to R800 000; and IT project managers can command salaries ranging from R400 000 to R700 000. These figures are based on industry standards and may vary depending on factors such as experience, qualifications, and company size.

To succeed in an IT career in the Western Cape, professionals need to possess a range of key skills, including programming languages (Java, Python, C++), data structures and algorithms, software development methodologies, cloud computing (AWS, Azure, Google Cloud), cybersecurity principles, and excellent communication skills. Additionally, knowledge of industry-specific tools and technologies, such as SAP or Oracle, can be highly valued.

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Several major companies and industries are actively hiring IT professionals in the Western Cape. For example, tech giants like IBM and Dell have a strong presence in the region, while financial institutions such as Standard Bank and First National Bank also have significant IT departments. The automotive industry is another major sector that employs IT professionals, with companies like Toyota and Volkswagen having operations in the province.

Career growth opportunities are plentiful for IT professionals in the Western Cape, with many companies offering training and development programs to help employees upskill and reskill. With experience, professionals can move into senior roles such as technical lead or manager, or transition into related fields like business analysis or consulting. The region’s entrepreneurial spirit also makes it an ideal location for startups, providing opportunities for IT professionals to launch their own businesses or join innovative companies that are shaping the future of technology.


This information provides general career guidance. Actual salaries and requirements vary by employer.



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