Job Summary

The role is responsible for applying advanced data science, machine learning, and analytics techniques to generate actionable business insights and support data-driven decision-making. The position focuses on customer insights, personalized engagement, predictive modelling, experimentation frameworks, and scalable AI solutions to improve customer and commercial outcomes.

The role works closely with business, technology, and analytics teams to transform structured and unstructured data into meaningful intelligence for strategic and operational use.

Key Responsibilities

Data Science & Analytics

• Apply data mining techniques and statistical analysis to large structured and unstructured datasets.
• Model business problems using:
  • Statistical techniques
  • Machine learning
  • Algorithmic modelling
  • Data visualization
• Generate insights and identify business opportunities from data analysis.
• Translate analytical findings into actionable business recommendations.

Customer Insights & Personalization

• Support design and development of personalized customer products and solutions.
• Enable contextually relevant customer conversations through analytics-driven insights.
• Collaborate with insights and analytics teams to improve customer engagement strategies.
• Build and maintain campaign models for:
  • Customer acquisition
  • Retention
  • Cross-selling
  • Right-selling
  • Product uptake optimization

Machine Learning & AI Solutions

• Design and deploy scalable data pipelines and machine learning solutions.
• Develop analytics solutions using cloud platforms such as:
  • Azure
  • AWS
• Operationalize machine learning models using MLOps practices including:
  • Deployment
  • Monitoring
  • Versioning
  • Automated retraining
• Apply advanced AI techniques including:
  • Natural Language Processing (NLP)
  • Recommender systems
  • Generative AI

Experimentation & Decision Science

• Design experimentation frameworks including:
  • A/B testing
  • Uplift modelling
  • Causal inference
• Measure and optimize customer and commercial outcomes.
• Support data-driven optimization across campaigns and customer journeys.

Governance & Compliance

• Ensure compliance with:
  • Data governance frameworks
  • Responsible AI principles
  • Regulatory requirements
  • Model risk management standards
• Promote explainability, fairness, and transparency in AI solutions.

Stakeholder Engagement

• Present analytical outputs in clear and compelling formats.
• Support business stakeholders with data-driven decision-making.
• Collaborate with multidisciplinary teams across analytics, technology, and business functions.

Requirements

Education

• First Degree in:
  • Mathematical Sciences
  • Information Technology
  • Or related field
• Master’s Degree in Business Commerce is an added advantage.

Experience

• 5–7 years’ experience in:
  • Quantitative analytics
  • Data science
  • Predictive modelling
  • Customer insights environments
• Proven experience translating data into actionable customer and commercial outcomes.
• Experience working with:
  • Structured and unstructured data
  • Cloud environments
  • Machine learning deployment
  • Enterprise analytics systems

Additional Advantages

• Relevant certifications such as:
  • Azure AI Engineer
  • AWS Machine Learning Specialty
  • Other AI/cloud certifications

Technical Competencies

• Data Analysis
• Database Administration
• Data Integrity
• Research & Information Gathering
• Cloud Computing (Azure/AWS)
• Machine Learning Operations (MLOps)
• Advanced Machine Learning & AI Techniques
• Data Engineering & Pipeline Development
• Experimentation & Decision Science
• Responsible AI & Model Governance
• Software Engineering Practices

Behavioral Competencies

• Adopting Practical Approaches
• Articulating Information
• Challenging Ideas
• Checking Things
• Examining Information
• Exploring Possibilities
• Interacting with People
• Product Thinking & Customer-Centric Design
• Data Storytelling & Business Influence
• Strategic Problem Solving
• Continuous Learning & Innovation