A company that drives Data, Digital and Innovation value propositions, and believe in long-term engagement with clients seek a Mid-Senior Data Scientist with a strong background in the FMCG or Retail sectors. The ideal candidate will have a deep understanding of data science methodologies, machine learning algorithms, and a proven ability to drive business insights through advanced analytics. Responsibilities: Leverage machine learning and statistical models to analyse large datasets from FMCG/Retail, uncovering patterns and trends that drive strategic decision-making. Develop and deploy predictive models for key business functions, such as demand forecasting, customer segmentation, and pricing optimization. Collaborate with stakeholders to define project objectives, gather requirements, and present actionable insights that align with business goals. Use data visualization tools (such as Power BI, Tableau, or equivalent) to build dynamic dashboards that showcase key data science outputs. Perform data extraction, cleaning, and transformation to prepare datasets for analysis. Implement advanced analytical methods including regression, classification, clustering, and time series analysis. Develop automated machine learning pipelines to improve data workflows and analytics efficiency. Provide data storytelling to communicate findings clearly to non-technical stakeholders and drive data-driven business decisions. Qualifications and Experience: 5 years of experience in data science roles, with significant experience in the FMCG or Retail industries. Strong expertise in machine learning, statistical modelling, and predictive analytics. Proficient in Python, R, or similar languages for data science and analytics. Hands-on experience with SQL for data extraction and manipulation. Expertise in data visualization tools such as Power BI, Tableau, or equivalent. Experience with cloud platforms such as AWS or Azure, and familiarity with deploying models in a cloud environment. Ability to communicate complex findings through clear, actionable insights and data storytelling. The Reference Number for this position is NG59746 which is a Permanent position based in Johannesburg offering a cost to company from R400 up to R600 per hour negotiable on experience and ability. Contact Nokuthula at