Data Scientist

• Create Machine Learning and AI products that provide actionable business insight and drive personalisation for M-Pesa users.
• Developing predictive models with large and varied datasets, working with a community of colleagues across Advanced Analytics, technology, and data and customer functions
• Development of machine learning models for various areas of the business on the Big Data Platform
• Development of prototype code in e.g. PySpark for automated training and scoring of the machine learning models
• Machine Learning Model performance tracking and reporting
• Uses data visualisation to engage audience in a compelling way, enabling effective storytelling
• Work with lead data scientist to deliver key packages of work to meet the needs of business customers
• Works in partnership with Big Data Engineering for data ingestion to support use cases
• Works in partnership with Big Data Production Data Engineering for model automation and productionising
• Contributing to the wider community to enable Machine Learning and AI capability across Vodafone globally.
• Manages and takes ownership of a portfolio of work from model development to stakeholder engagement

Principal Data Scientist

• Develop predictive models and anomaly detection systems using industrial sensor and IoT data, with a focus on process optimization in mineral processing plants.
• Bring process engineering domain knowledge of mineral processing plants, specifically milling, flotation, and leaching, to help shape the future of AI-driven process optimization.
• Understand how MetOptima, our end-to-end optimization system, integrates with advanced process control (APC) systems.
• Work directly with customers to identify opportunities for data-driven performance improvement and optimization.
• Contribute to the development of hybrid models combining fundamental and data-driven approaches.
• Write Python code and Jupyter notebooks for research, prototyping, and data analysis.
• Analyze complex industrial datasets to uncover insights and identify process trends.
• Collaborate with a cross-functional team of data scientists, software engineers, metallurgists, product managers and designers to deliver production-grade ML pipelines - including data exploration, feature engineering, model development, and performance evaluation.

Senior Process Data Scientist

• Facilitate engaging, student-centred online learning
• Guide students through complex data science concepts
• Support student learning through discussion and academic support
• Assess student submissions in line with academic standards
• Provide clear, constructive, and developmental feedback
• Ensure consistency and fairness in marking
• Critical review of qualification and material
• Contribute to the design or revision of learning materials, assessments, and module content

Independent Contractor – Facilitator, Assessor, Critical Reviewer, Developer – Data Science

• Develop and integrate new features to enhance functionality in our products and models for internal and external users
• Champion best practices in software development within the team
• Write comprehensive tests and documentation to ensure reliability
• Create and maintain efficient pipelines and infrastructure for seamless deployment
• Deploy models into production, ensuring their stability and performance
• Collaborate with engineering teams to achieve cohesive organisational goals
• Share insights and innovative solutions within the AI/ML domain through cross-team collaboration
• Research new methodologies, techniques, and algorithms to keep our products as the best in class in the market

Associate Data Scientist

• At **Mindera**, we believe that software is built by people, for people with high performance systems that impact users worldwide. We are looking for a **Senior** **Data Scientist** to join an agile, collaborative team where your voice matters as much as your code.
• The **Data Scientist** is a high-level individual contributor who leads complex data science initiatives that impact the Core Tech roadmap. This role focuses on translating complex marketing and product challenges into data-driven recommendations. Working with significant independence, the **Senior Data Scientist** develops predictive models and performance reporting frameworks that enable stakeholders across the organization to make informed investment decisions.
• We value **empathy, self-organization, and the courage to take risks.** If you love solving complex problems and believe that teaching others is the best way to learn, you’ll feel right at home here.
• We’re looking for someone who loves to build, learn, and guide others. You’ll be working closely with our leadership (CEO/COO) and our clients, so clear communication and a collaborative spirit are key.
• **💪 How You'll Contribute**
• - **Business Insight & Problem Definition:** Partner closely with marketing and product teams to diagnose business challenges and define appropriate data metrics, analyses, and interpretations to drive strategic decisions.
• - **Statistical Modeling:** Define requirements for and lead the creation, monitoring, and iterative improvement of key statistical models used for marketing spend optimization and product growth.
• - **Narrative & Visualization:** Design clear, unambiguous narratives and data visualizations to communicate model outputs and analysis results to broad, non-technical audiences.
• - **Rapid Prototyping:** Independently prototype and test new insights, moving from hypothesis to rigorous validation with minimal mentorship.
• - **Technical Consultation:** Reason effectively about the strengths and weaknesses of different modeling approaches, selecting and iterating on combinations that suit specific marketing contexts.

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Principal Data Scientist

Senior Process Data Scientist

Independent Contractor – Facilitator, Assessor, Critical Reviewer, Developer – Data Science

Associate Data Scientist

Data Scientist