Lead Data Scientist

Recruiter:

Network Recruitment

Job Ref:

NFP016857/KM

Date posted:

Tuesday, June 2, 2026

Location:

Cape Town, South Africa

SUMMARY:

Take the lead in shaping data-driven decision-making within one of South Africa’s most dynamic and complex consumer environments. This is an exciting opportunity for an experienced Data Scientist to step into a leadership role, driving advanced analytics, machine learning, and AI initiatives while guiding a team of high-performing junior Data Scientists.

POSITION INFO:

The ideal candidate will blend strong technical expertise with excellent communication skills, translating complex data insights into clear, actionable strategies that influence executive-level decision-making.

Key Responsibilities:

Lead, mentor, and develop a team of four Junior Data Scientists
Drive the design, development, and deployment of advanced analytics and machine learning solutions
Build predictive, prescriptive, and forecasting models to support key business initiatives
Apply statistical techniques such as regression, clustering, classification, and time-series analysis
Translate complex technical outputs into clear insights for non-technical stakeholders
Partner with business units to identify and unlock data-driven opportunities
Collaborate with Data Engineering and Technology teams to ensure scalable model deployment
Establish and enforce best practices across data science and model governance
Monitor model performance and continuously enhance analytical solutions
Champion the adoption of AI and advanced analytics across the organisation

Requirements:

Education:

Honours degree or higher in Data Science, Statistics, Mathematics, Computer Science, Engineering, Actuarial Science, or a related field
Master’s degree advantageous

Experience:

Minimum of 4 years’ experience in Data Science, Machine Learning, or Advanced Analytics
Proven experience leading or mentoring Data Science teams
Experience working with large datasets and cloud-based environments
Strong track record of delivering impactful, business-driven analytics solutions
Exposure to engaging with senior stakeholders and executive teams

Technical Skills:

Advanced proficiency in Python and SQL
Strong knowledge of machine learning, statistical modelling, and predictive analytics
Experience with cloud platforms such as AWS, Azure, or GCP
Familiarity with MLOps and model deployment practices is beneficial
Experience with visualisation tools such as Power BI or Tableau

Core Competencies:

Excellent communication and stakeholder engagement skills
Strong commercial awareness and problem-solving ability
Ability to simplify complex technical concepts for diverse audiences

Apply now!

For more exciting Actuarial & Analytics vacancies, please visit:
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I also specialize in recruiting:

Actuarial (Life, ShortâTerm, Pensions, Health, Quant)
Data Science & Advanced Analytics
Pricing & Product Modelling
Market, Credit & Quantitative Risk
Machine Learning & AI Specialists

If you have not received a response within two weeks, please consider your application unsuccessful. Your profile will remain on our database for future opportunities.

For more information, contact:
Kholo Mongalo
Recruitment Researcher – Actuarial & Analytics
Connect with me on LinkedIn:

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