ICT Data Scientist & AI Developer
Job Purpose:
- Lead execution of data engineering and AI initiatives across the organization; Responsible for delivery quality, technical guidance, and ensuring data solutions support business performance, automation, and analytics objectives.
Key Responsibilities:
- Design and maintain scalable data pipelines (Python, SQL, Spark, Microsoft Fabric).
- Oversee ingestion, transformation, and data quality processes.
- Ensure reliability and performance of reporting datasets and ML-ready data.
- Support optimization and value extraction from Britam’s MDM platform.
- Review and approve junior team code and pipeline configurations.
- Lead development and deployment of ML use cases (e.g., claims risk, lapse prediction, fraud detection).
- Guide the data stewards in data preparation and experimentation.
- Convert ML models into APIs and support integration into business systems.
- Monitor model performance and recommend recalibration when needed.
- Oversee dashboard development (Power BI or similar) and ensure business alignment.
- Support Finance, Actuarial, Risk, and Product teams with predictive analysis.
- Validate insights before release to business stakeholders.
- Drive automation of recurring reporting and manual workflows.
- Ensure compliance with data security, privacy, and ethical AI standards.
- Partner with Risk & Compliance on data protection implementation.
- Maintain documentation for audit and regulatory purposes.
Knowledge, Experience and Qualifications required and Essential Competencies - External
- University Degree in actuarial science, statistics, engineering, mathematics, physics, economics or related field with strong emphasis on mathematical proficiency
- 2-4 years’ experience in a similar position
- Experience in creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, etc.
- Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
- Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.
- Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
- Demonstrated expertise machine learning algorithms and Microsoft fabric
Technical/ Functional competencies
- Statistical techniques
- Proficient knowledge on the insurance industry in Kenya
- Knowledge of reinsurance arrangements and structures
- Knowledge of statistical packages or programming (e.g. SAS, Visual Basic)
- Database management systems
Method of application
If you are interested and qualified, kindly submit your application via the link provided below,
https://britam.taleo.net/careersection/ke/jobdetail.ftl?job=37898&utm_source=Jobinkenya