Data Scientist Intern
2025-05-01T18:15:42+00:00
Britam
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https://ke.britam.com/
FULL_TIME
Nairobi
Nairobi
00100
Kenya
Investment
Computer & IT
2025-05-15T17:00:00+00:00
Kenya
8
Data Scientist Intern
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.
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.
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.
No Requirements
JOB-6813ba4ea7cb4
Vacancy title:
Data Scientist Intern
[Type: FULL_TIME, Industry: Investment, Category: Computer & IT]
Jobs at:
Britam
Deadline of this Job:
Thursday, May 15 2025
Duty Station:
Nairobi | Nairobi | Kenya
Summary
Date Posted: Thursday, May 1 2025, Base Salary: Not Disclosed
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JOB DETAILS:
Data Scientist Intern
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.
Work Hours: 8
Experience: No Requirements
Level of Education: bachelor degree
Job application procedure
Interested and qualified? Go to Britam on britam.taleo.net to apply
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