Data Scientist Intern at Britam

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.