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Data Scientist (1 Year Fixed-Term Contract)

britam/ke

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Job at a glance

Employer
britam/ke
Position
Data Scientist (1 Year Fixed-Term Contract)
Location
Kenya, Nairobi
Salary
Not stated in the advert
Application deadline
Open until filled (listed until 21 October 2026)
Posted on VacancyKE
4 October 2026

About the role

britam/ke is hiring: Data Scientist (1 Year Fixed-Term Contract) in Kenya, Nairobi. The employer’s full advert is below.

How to apply

Official source: From the employer's hiring system · britam.taleo.net. VacancyKE never charges job seekers.

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Original employer advertisement

Published by britam/ke on britam.taleo.net. Shown for reference; the employer’s version is the official one.

The employer’s advert
Job Purpose:
The job holder will be responsible for transforming enterprise data into actionable insights by developing analytical models, supporting data-driven decision-making, and contributing to the implementation of the organization’s data strategy, governance framework, and advanced analytics capabilities.
Key responsibilities:

• Analyze structured and unstructured data to generate actionable insights for business units.

• Develop predictive and prescriptive models to support business decision-making.

• Build and maintain machine learning models and analytical pipelines.

• Support implementation of the enterprise data framework including data quality and governance standards.

• Work with data platforms (e.g., Microsoft Fabric, data lakes) to process and analyse data.

• Develop dashboards and visualizations for stakeholders.

• Translate analytical outputs into clear business insights.

• Collaborate with stakeholders across business and technology teams.

• Identify opportunities for AI/ML to improve business performance.

• Perform other duties as assigned.

Knowledge, experience and qualifications required:

• Bachelor’s or Master’s Degree in Data Science, Statistics, Computer Science or related field.

• 1- 2 years’ experience in data analytics or data science.

• Proficiency in Python/R, SQL, and Power BI or similar tools.

• Experience with machine learning and statistical modelling.

• Familiarity with cloud data platforms (e.g., Microsoft Fabric, Azure).

• Understanding of data governance and regulatory requirements is an advantage.