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 nokuthulag@e-merge.co.za or call her on 011 463 3633 to discuss this and other opportunities.

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