Lead Data Scientist

ExecutivePlacements.com

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

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, Short‑Term, 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

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