Data Scientist/ Data Analyst at Nathan Claire Africa

Job Summary:

The Data Scientist will be a key member of the data team, responsible for unlocking actionable insights from Centenary Bank’s vast data assets. This role will bridge the gap between our Data Lake infrastructure and the bank\'s strategic business units. You will collaborate with stakeholders across Marketing, Customer Experience, Risk, and Operations to understand their challenges and apply advanced analytical and machine learning techniques to provide data-driven solutions that enhance efficiency, manage risk, and improve customer satisfaction.

Key Responsibilities:

• Stakeholder Collaboration: Partner with business leaders to understand their objectives and translate them into data-led projects, defining key metrics and analytical requirements.
• Business Intelligence & Reporting: Develop, deploy, and maintain role-based dashboards and reports that provide visibility into technology, business, and customer performance.
• Advanced Analytics: Analyze large, complex datasets to identify trends, patterns, and root causes of business issues, such as transaction failures or process bottlenecks.
• Predictive Modelling: Design, train, and deploy machine learning models to support predictive use cases, including:
  • Forecasting customer behaviour, including churn and product uptake.
  • Predicting operational needs, such as teller workloads and cash requirements.
  •  Anticipating technology risks like infrastructure capacity exhaustion.
• Customer Experience Insight: Analyse customer journey data from digital channels to identify pain points and provide recommendations for improving customer retention and engagement.
• Risk Analytics: Develop dynamic risk registers by tracking key risk indicators, such as sustained declines in transaction volumes or unresolved technical issues on critical applications.
• Communication: Clearly communicate complex findings and the value of data-driven insights to both technical and non-technical audiences.

Required Skills & Qualifications:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Economics, or a related quantitative field.
• Proven experience as a Data Scientist or Data Analyst, preferably within the financial services.
•  Strong proficiency in data analysis and programming languages such as Python (Pandas, Scikit-learn, TensorFlow) and/or R.
• Expert-level knowledge of SQL and experience working with large relational andnon-relational databases.
• Hands-on experience with BI and data visualization tools (e.g., Power BI, Tableau).
• Demonstrated experience in developing and deploying machine learning models to solve real-world business problems.
• Exceptional problem-solving skills and business acumen, with an ability to connect data insights to business impact.
• Excellent communication and interpersonal skills, with a proven ability to collaborateeffectively with diverse teams.