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About the Role

Design and deliver data-driven solutions to solve complex business problems and create measurable impact. Transform business challenges into scalable analytical, machine learning, and GenAI solutions, playing a key role in delivering innovative AI solutions that drive better decision-making and customer outcomes.

Responsibilities

• Collaborate with business stakeholders to identify and prioritize AI and analytics opportunities
• Translate business requirements into scalable data science and machine learning solutions
• Validate data availability and define analytical approaches for new use cases
• Build predictive models, machine learning solutions, and GenAI applications
• Design robust data pipelines and analytical workflows
• Apply data processing, feature engineering, and statistical modelling techniques
• Ensure solutions are scalable, production-ready, and aligned with software engineering and MLOps best practices
• Present analytical findings and recommendations to technical and executive stakeholders
• Communicate AI capabilities, feasibility, risks, and expected business value in a clear and practical way
• Mentor junior team members and support technical delivery across multiple initiatives

Requirements

• Master's degree in Data Science, Computer Science, Artificial Intelligence, Mathematics, Software Engineering, or a related field
• 5+ years of hands-on experience delivering data science or machine learning solutions
• Strong Python programming skills and experience with modern data science libraries
• Experience building predictive models, machine learning solutions, and GenAI applications
• Strong understanding of statistics, data modelling, and feature engineering
• Experience designing scalable data pipelines and production-ready AI solutions
• Familiarity with MLOps, model deployment, and machine learning lifecycle management
• Excellent stakeholder management and communication skills
• Ability to translate complex technical concepts into business value

Skills

• Python
• Data Science Libraries
• Predictive Modeling
• Machine Learning
• GenAI
• Statistics
• Data Modeling
• Feature Engineering
• Data Pipelines
• MLOps
• Model Deployment
• Stakeholder Management
• Communication

Experience Level

• Senior
• 5+ years

Education Level

• Master's degree