Data Scientist-Personalization

On Site Full TimeKampala, Central Region, UgandaStandard Bank Group

Data Scientist-Personalization role at Standard Bank Group involves applying data mining techniques, conducting statistical analysis, and leveraging client voices for personalized conversations. The role requires collaborating with a multi-disciplinary team to design and deliver personalized client conversations, building statistically robust campaign models, and operationalizing machine learning models.

Requirements

  • Assist in applying data mining techniques and 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 voices through personalized and contextually relevant conversations for client-led products and solutions design and development
  • Collaborate with a multi-disciplinary insights and analytics team to design and deliver personalized client conversations
  • 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 leveraging cloud-based platforms (e.g. Azure, AWS)
  • Operationalise machine learning models through robust MLOps practices, including model deployment, monitoring, versioning, and automated retraining
  • Apply advanced machine learning and artificial intelligence techniques to enhance personalisation, customer engagement and decisioning frameworks
  • Design and implement experimentation frameworks to measure and optimise customer and commercial outcomes across campaigns and journeys
  • Ensure adherence to data governance, model risk management, and responsible AI principles

Benefits

  • Generous Paid Time Off
  • 401k Matching
  • Retirement Plan
  • Visa Sponsorship
  • Four Day Work Week
  • Generous Parental Leave
  • Tuition Reimbursement
  • Relocation Assistance

To apply for this job please visit jobs.smartrecruiters.com.


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