Standard Bank Group
Financial Services
DataScientist-Personalization
Neural analysis suggests this role is
optimal for mid candidates.
“Data Scientist-Personalization at Standard Bank Group. Skills: data mining, statistical analysis, machine learning, data pipelines, MLOps, NLP, Generative AI, A/B testing, causal inference, cloud platforms. applying data mining techniques. conduct statistical analysis to large, structured and unstructured data sets”
What You'll Achieve.
delivering both customer and commercial outcomes; translating data into insights and translating the derived insights into actionable customer conversations delivering both customer and commercial outcomes; optimise customer and commercial outcomes across campaigns and journeys; enabling data-driven decision making at all levels of the organisation
Industry & Context.
Model business problems; discovering insights and opportunities; problem-solving
What They're Looking For.
Must Have
First Degree Mathematical Sciences, Information Technology or related from a recognised Institution, Masters Degree in Business Commerce, 5–7 years proven experience in deep quantitative, analytics, and modelling environments, Proven track record in customer insights and analytics environment with end-to-end accountability on translating data into insights and translating the derived insights into actionable customer conversations delivering both customer and commercial outcomes, Experience in working with unstructured data (e.g. streams, images), understanding of data flows, data architecture, ETL and processing of structured and unstructured data, Experience in designing and managing data solutions in cloud environments (e.g. Azure, AWS), Experience in implementing machine learning models into production environments, including API deployment and integration into enterprise systems, Experience with common data science toolkits, MLOps frameworks, and data visualisation tools
Nice to Have
Relevant cloud and AI certifications (e.g. Azure AI Engineer, AWS Machine Learning Specialty)
What You'll Do.
applying data mining techniques, conduct statistical analysis to large, structured and unstructured data sets, Model business problems, discovering insights and opportunities through statistical, algorithmic, machine learning and visualisation techniques, Leverage client’s voices through personalised and contextually relevant conversations for client-led products and solutions design and development, Co-create, administer and enhance a client conversation portal (e.
NBA) enabling bankers to have contextually relevant and meaningful conversations with clients, Build, maintain and enhance statistically robust and accurate campaign models to facilitate conversations, take-up optimisation across acquisition, retention, right-sell, and cross-sell interventions, Design, develop and deploy scalable data pipelines and machine learning solutions, Operationalise machine learning models through robust MLOps practices, Apply advanced machine learning and artificial intelligence techniques (including NLP, recommender systems and Generative AI), Design and implement experimentation frameworks (e.
A testing, uplift modelling, causal inference), Ensure adherence to data governance, model risk management, and responsible AI principles, Translate complex analytical outputs into clear, compelling and actionable insights for business stakeholders.
How You'll Work.
Team & Collaboration
working closely with clients, data and technology teams; Collaborate with a multi-disciplinary insights and analytics team; partners in the design and delivery of personalised client conversations
Communication Scope
Articulating Information; Translate complex analytical outputs into clear, compelling and actionable insights
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. * Leverage our client’s voices through personalised and contextually relevant conversations for client-led products and solutions design and development. Co-create, administer and enhance a client conversation portal (e.g. NBA) enabling bankers to have contextually relevant and meaningful conversations with clients. * Collaborate with a multi-disciplinary insights and analytics team that partners in the design and delivery of personalised client conversations for Personal and Private Banking Clients, country. * Build, maintain and enhance statistically robust and accurate campaign models to facilitate conversations, take-up optimisation across acquisition, retention, right-sell, and cross-sell interventions for all PPB segments. * Design, develop and deploy scalable data pipelines and machine learning solutions leveraging cloud-based platforms (e.g. Azure, AWS) to support real-time and batch analytics use cases. * Operationalise machine learning models through
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