Senior Data Scientist

Expleo Group

Senior Data Scientist designing and maintaining data infrastructure at Expleo. Collaborating on data solutions and predictive modeling for enterprise data.

Posted 7/1/2026contractJohannesburg • 🇿🇦 South AfricaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in predictive modeling, graph analytics, and knowledge graph architectures, with a strong focus on model lifecycle management and cloud-native platforms. Proven ability to collaborate with cross-functional teams to deliver data-driven solutions in enterprise environments.

Highest-signal resume keywords

Predictive ModelingGraph AnalyticsKnowledge Graph DevelopmentCloud-Native PlatformsPython Programming

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingGraph AnalyticsKnowledge Graph DevelopmentFeature EngineeringModel Lifecycle ManagementPython ProgrammingMachine Learning FrameworksData PreparationPerformance OptimizationDeployment

Soft Skills

CollaborationCross-Functional Teamwork

Tools & Technologies

AWSAzureGCP

Industry Keywords

Data EngineeringEnterprise DataAI/GenAI Use CasesProduction-Ready Models

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPython

About the role

Key responsibilities & impact

Predictive modeling: Design, build, and optimize models to detect patterns and anticipate outcomes in enterprise data.
Graph analytics: Apply graph-based methods to uncover relationships and dependencies across large-scale, interconnected datasets.
Knowledge graphs: Enable AI/GenAI use cases by developing and leveraging knowledge graph architectures.
Feature engineering: Drive the creation of robust features to enhance downstream models and improve predictive accuracy.
Model lifecycle management: Own the end-to-end process of model development, from data preparation and training to performance optimization and deployment.
Cloud-native platforms: Implement scalable solutions within enterprise cloud environments, ensuring reliability and efficiency.

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field.
7+ years of experience in Data Engineering
Strong expertise in Python and modern machine learning frameworks
Proven experience with graph analytics and knowledge graph applications.
Deep understanding of cloud-native platforms (e.g., AWS, Azure, GCP).
Track record of delivering production-ready models in enterprise environments.
Ability to collaborate with cross-functional teams to translate business challenges into data-driven solutions.

Benefits

Comp & perks

Flexible working arrangements
Professional development opportunities