Reporting Line:
Senior Manager – Advanced Analytics and Machine Learning

Location:
Tanzania Head Office

Department:
Data Management Office

Number of Openings:
2

Job Purpose

This role leverages data analytics, statistical modeling, and machine learning techniques to develop AI-driven solutions that improve banking operations, enhance customer experience, and generate actionable business insights.

Key Responsibilities

1. Develop and implement predictive and prescriptive ML models for banking use cases such as fraud detection, credit risk scoring, and customer segmentation.
2. Conduct exploratory data analysis (EDA) to uncover insights and guide model development.
3. Work closely with business units to understand operational challenges and translate them into AI/ML solutions.
4. Perform feature engineering, feature selection, and dimensionality reduction to optimize model performance.
5. Apply time-series forecasting, natural language processing (NLP), or deep learning as needed for specific use cases.
6. Use statistical analysis, hypothesis testing, and A/B testing to validate AI-driven recommendations.
7. Collaborate with MLOps and engineering teams to deploy models into production using API integrations and cloud-based solutions.
8. Monitor model performance post-deployment, retraining and updating models to manage data drift.

Qualifications Required

• Minimum of 3 years’ experience in machine learning, data analysis, or statistical modeling.
• Proficiency in Python, SQL, and ML frameworks such as Scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Strong understanding of statistics, probability, and fundamental data science concepts.
• Experience with data visualization tools such as Tableau, Power BI, Matplotlib, and Seaborn.
• Familiarity with cloud-based ML services on AWS, Azure, or GCP.
• Ability to work with large datasets and solve complex analytical problems.
• Strong analytical and critical-thinking skills.
• Ability to translate business needs into technically sound AI/ML solutions.
• Effective communication and data storytelling skills.
• High attention to detail and focus on model accuracy.
• Ability to work independently and collaboratively in cross-functional teams.

CRDB Commitment

CRDB Bank is committed to Sustainability and ESG practices and welcomes applicants who embrace these values. The Bank promotes an inclusive work environment and strongly encourages applications from women and individuals with disabilities.

Important Notice

CRDB Bank does not charge any application or recruitment fees. Any requests for payment should be ignored as they do not represent the Bank’s official processes.

Only shortlisted candidates will be contacted.

Application Deadline

24 December 2025

Employment Terms

Permanent

How to Apply:

To submit your application, please follow the link provided below.

CLICK HERE TO APPLY