Data Scientist Internship

Britam Holding PLC is a leading diversified financial services group and is listed on the Nairobi Securities Exchange. The group has presence in seven Africa countries in Kenya, Uganda, Tanzania, Rwanda, South Sudan, Mozambique and Malawi.

Britam offers a wide range of financial products and services which include: Asset Management, Life Assurance, Retirement Planning, General Insurance, Health Insurance, Banking and Property Insurance.

Job Purpose:

Work within Betalab under the Partnership and Digital department to identify requirements, design and develop solutions (database design, workflows, user/data interfaces, integrations) and offer technical support for Betalab solutions.

Key responsibilities:

Data Pipeline Development:

• Design, develop, and maintain robust data pipelines for data extraction, transformation, and loading (ETL).
• Implement data storage solutions using databases and cloud-based platforms.
• Optimize data processing for performance and scalability.

Machine Learning Model Deployment: 

• Develop and deploy machine learning models into production environments.
• Create APIs and web services to expose model predictions.
• Monitor model performance and implement retraining strategies.

Software Development: 

• Write clean, efficient, and well-documented code in languages such as Python.
• Develop data-driven applications and tools to support business objectives.
• Contribute to the development of our data science platform.

Data Analysis and Visualization: 

• Conduct exploratory data analysis to identify trends and patterns.
• Create interactive visualizations to communicate insights to stakeholders.
• Develop reports and dashboards to track key performance indicators.

Collaboration and Communication: 

• Work closely with data scientists, engineers, and product managers.
• Communicate technical concepts clearly to both technical and non-technical audiences.
• Participate in code reviews and contribute to team knowledge sharing.

Knowledge, experience, and qualifications required:

• Degree in Computer Science or technical-related field from an accredited institution.
• Familiarity with Agile development methodologies.
• Proficiency in Python and relevant libraries (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
• Experience with cloud computing platforms (AWS, Azure, GCP).
• Experience with RDMS preferably Oracle, MySQL, Non-relational MongoDB.