Standard Bank Group
Financial Services
DataScientist
Neural analysis suggests this role is
optimal for mid candidates.
“Data Scientist at Standard Bank Group. Skills: Data Science, Machine Learning, Statistical Analysis, Data Modeling. Apply data mining techniques. Conduct statistical analysis”
What You'll Achieve.
Make sound business decisions
Industry & Context.
Model business problems; Discover insights; Discover opportunities
What They're Looking For.
Must Have
3-4 years’ experience in Data & Analytics, Experience with structured and unstructured data, Knowledge of data architecture, Knowledge of ETL, Knowledge of data flows, Experience in data mining, Experience in statistical analysis, Proficiency in SAS, Proficiency in R, Proficiency in Python, Proficiency in Power BI, Proficiency in Tableau, Experience in machine learning modelling, Experience in predictive analytics
Nice to Have
Understanding of banking data, Understanding of banking systems, Understanding of banking products, Exposure to software engineering, Exposure to BI, Exposure to project delivery
What You'll Do.
Apply data mining techniques
Conduct statistical analysis
Model business problems
Discover opportunities
Turn data into information
Develop machine learning models
Deploy machine learning models
Develop statistical models
Deploy statistical models
Perform data preprocessing
Perform data cleansing
Perform feature engineering
Improve model performance
Analyze large datasets
Design data pipelines
Maintain data pipelines
Maintain ETL processes
Translate business needs
Build predictive models
Maintain predictive models
Support model deployment
Support model integration
Ensure model performance
How You'll Work.
Team & Collaboration
Work with clients; Work with data teams; Work with technology teams; Collaborate with stakeholders
Communication Scope
Present insights; Visualisations; Reports
Process & Methodology
Project delivery
Full Job Description
Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you. Assist in applying data mining techniques and conduct statistical analysis to large, structured and unstructured data sets to understand and analyse phenomena. Model business problems, discovering insights and opportunities through statistical, algorithmic, machine learning and visualisation techniques, working closely with clients, data and technology teams to turn data into critical information used to make sound business decisions. ## Qualifications Experience Required * 3–4 years’ experience in Data & Analytics / Data Monetisation * Experience working with structured and unstructured data * Strong knowledge of data architecture, ETL and data flows * Experience in data mining and statistical analysis * Proficiency in SAS, R or Python and visualisation tools (Power BI, Tableau) * Experience in machine learning modelling and predictive analytics * Understanding of banking data, systems and products * Exposure to software engineering, BI and project delivery Essential Functions * Develop and deploy machine learning and statistical models to solve business problems * Perform data preprocessing, cleansing and feature engineering to improve model performance. * Analyse large datasets to identify patterns, trends and insights for decision-making. * Design and maintain data pipelines and ETL processes to support analytics. * Translate business needs into data science solutions in collaboration wi
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