Job title : Data Scientist (Marketing and Natural Language Processing)
Job Location : South Africa,
Deadline : November 18, 2025
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ROLE OVERVIEW
Reporting to the Senior Data Architect, the incumbent will be responsible for the application of data science and advanced quantitative methods, which include machine learning, deep learning, artificial intelligence, predictive analytics to enable key strategic, tactical, and operational use-cases within the domain of marketing, communications, strategy, and Natural Language Processing - as per SALGA Digital Strategic Framework. Responsible for the end-to-end data Lifecyle – from strategic planning, data collection, through monitoring, evaluation, and incremental improvement.THE CANDIDATE PROFILE
Strong project management and organizational skills.Experience supporting and working with cross-functional teams in a dynamic environment.Database configuration and managementData visualisationData analysisPredictive analyticsAgileExposure to financial services and / or fast retail / FMCGBusiness acumenCulture fit : SALGA desires an individual who will share and buy-in, in our core values, mission and vision, demonstrating commitment to our ethos beyond just doing the jobQUALIFICATIONS AND EXPERIENCE
Relevant Degree in Statistics, Mathematics, Applied Mathematics, Physics , Econometrics, Actuarial Science or equivalent at NQF 75 year’s experience data science and analysis experienceProficient in Python and database technologiesValid Driver’s License;KEY PORTFOLIO AND PERFORMANCE FOCUS AREAS
Support the Chief Digital Officer and Senior Data Architect using a variety of state-of-the-art cloud based technologies to solve data analysis and prediction problems.Identify and act on new opportunities for data driven business in data science and analytics.Recognise when existing solutions can be generalised to solve new problems and address new data-as-a-service verticalsWork in a collaborative environment developing data science methods, tools, and algorithms to solve problems.Become fluent in analytical modelling using SALGA’s internal data modelling platforms and tool;Continuously learn and apply latest and fit-for-purpose, open-source and proprietary tools and technologies to achieve results, including some or all of the following :Cloud
Microsoft Azure (must)AWSGoogle CloudBig Data
MondodbHadoopCassandraMachine Learning
KubeflowTensorflowPyTorchBusiness Intelligence / Analytics and visualisation
Microsoft PowerBi (must)Microsoft Excel (must)Google Analytics (must)Adobe Analytics (must)Google ChartsNLTK (must)TextblobSpaCyCoreNLPDatorama (advantage)Languages
Python (must)R (must)SQL (must)Conversational AI
DialogflowTeneoBot Framework / Bot Builder SDK (ideal)Watson AssistantAssociated tools and technologies as they become available, and the platform evolvesLoad and merge data originating from diverse sources.Performa data cleansing, and quality management.Pre-process and Transform data for model building and analysis.Troubleshoot data quality issues and work with team members to reach solutionsPerform descriptive analytics to discover trend and pattern in the data;Create visualizations, including dashboards to provide insights on large data sets and input to finished reportsDevelop predictive models for business solutions.Deploy predictive and other models to production.Build and train NLP modelsAnalyse output products to assure data quality and conformance to requirements.Develop technical specification for 3rd party platform data integration and streamingParticipate in continuous improvement efforts to increase available data quality and speed of deliveryAddress ad-hoc domain-specific data analytic requirements from domain or cluster leaders; and a continuously deliver user-centricdata visualisations, publications, and productsDeadline : 18th November,2025
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