ICT Data Scientist & AI Developer
AI summary
Britam is hiring an ICT Data Scientist & AI Developer in Nairobi to lead data engineering and AI initiatives, build scalable data pipelines, and develop machine learning models for claims risk, lapse prediction, and fraud detection. The role requires a quantitative degree, 2–4 years of experience, and strong Python, SQL, and ML skills. Salary is open and the deadline is 30/09/2026.
- Lead data engineering and AI initiatives across the organization
- Build and maintain scalable data pipelines using Python, SQL, Spark, and Microsoft Fabric
- Develop and deploy ML models for claims risk, lapse prediction, and fraud detection
- Requires a quantitative degree and 2–4 years of relevant experience
- Salary is open; application deadline is 30/09/2026
AI job guide
Use this guide to check salary signals, requirements, documents, application steps and safety before you apply.
AI salary guide
Source salary availableThe source lists Open. Confirm the final pay, benefits, contract terms and allowances directly with the employer before accepting an offer.
Can you qualify for this role?
- Required2+ years of relevant experienceThe job post includes a minimum experience signal.
- RequiredEducation or certification mentioned in the postThe captured text mentions education, a diploma, certificate, or licence.
- PreferredPractical evidence in security, entregador, segurancaThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in Not specifiedThe vacancy is associated with this location.
- UnclearComfort with the Full Time contract termsConfirm hours, duration, probation and benefits at the original source.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- Role specificAcademic or professional certificates
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest ICT Data Scientist & AI Developer evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to Britam and the role in Not specified.
- Add concrete examples related to security, entregador, seguranca, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from Corporate Staffing Kenya; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
- Plan to submit before the listed deadline: 2026-09-30.
Source and safety check
- Corporate Staffing Kenya
- Original source link available
- Application method is clear
- Deadline is available: 2026-09-30
- No major risk signal was detected in the captured text.
Never pay for interviews, shortlisting, medical checks, uniforms, or job placement. Confirm every application at the original source before sharing personal documents. Report suspicious listing.
Interview preparation
- What experience makes you a strong fit for this ICT Data Scientist & AI Developer role in security, entregador?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Not specified under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research Britam before the interview.
Ask what the first priorities will be in the role and how success will be measured.
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Original source description
Job Title: ICT Data Scientist & AI Developer
Date Posted: 16/09/2026
Job Type: Full Time
Job Level: Middle
Employer: Britam
Industry: IT
Salary: Open
Location: Nairobi
Country: Kenya
Deadline: 30/09/2026
IT Jobs. Britam Jobs. ICT Data Scientist & AI Developer. Developing machine learning models, advanced analytics solutions, and automated AI workflows, requiring a Data Science/Computer Science/Statistics Degree and 2+ years AI/ML development experience.
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.
- Qualifications
- 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’
- in a similar position
- 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