Lead Data Scientist (Retail & Wholesale, AI Initiatives)

About the Role

Lead Data Scientist responsible for driving end-to-end AI and Advanced Analytics initiatives to support CP Axtra's Retail & Wholesale businesses. Develop and execute AI strategy, translate AI insights into business outcomes, and scale AI adoption across multiple business units.

Responsibilities

• Drive the end-to-end AI and Advanced Analytics initiatives to support CP Axtra's Retail & Wholesale businesses, developing and executing a forward-looking AI strategy that delivers measurable impact on revenue growth, cost efficiency, and customer engagement.
• Serve as a bridge between business and technology to ensure AI adoption and scaling across multiple business units; stay updated on global and local AI trends including Generative AI, personalization, forecasting, and optimization.
• Lead the design, development, and deployment of machine learning and AI models, including personalization engines, pricing optimization, demand forecasting, inventory management, and GenAI/NLP applications.
• Oversee experimentation, validation, and monitoring of AI/ML models to ensure scalability, reliability, and business integration.
• Ensure close collaboration with data engineering teams to enable robust pipelines and MLOps for production-grade solutions.
• Partner with Retail Operations, Marketing, Sales, Supply Chain, Finance, and IT to co-create AI use cases, build strong stakeholder relationships, align priorities, and manage expectations.
• Mentor and coach a team of data scientists and analysts, foster a culture of innovation and continuous learning, and promote cross-functional collaboration to build internal AI/ML capability.
• Define and monitor success metrics for AI initiatives (sales uplift, campaign ROI, operational cost reduction, customer lifetime value), continuously assess and optimize AI-driven processes, and share learnings and case studies.

Qualifications

• Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related field.
• 5+ years of experience in data science, advanced analytics, or AI applications; experience in Retail or Wholesale domain preferred.
• Proven experience delivering AI/ML solutions from ideation to production with measurable business outcomes.
• Strong stakeholder management and communication skills; proven ability to prioritize and deliver projects with business impact.
• Understanding of retail and wholesale operations including customer journey, pricing, promotion, assortment, and supply chain optimization.

Skills

• Proficiency in Python, R, SQL, and machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
• Familiarity with Generative AI and NLP frameworks (e.g., LLMs, LangChain, RAG pipelines).
• Familiarity with cloud-based data platforms (AWS, GCP, Azure) and big data technologies (Spark, Hadoop, Databricks).
• Experience with data visualization tools (Power BI, Tableau) and modern MLOps practices.

Benefits

• Health Insurance: Group insurance (OPD, IPD, Emergency OPD).
• Provident Fund: 3% provident fund.
• Year-end bonus: Variable and performance bonus.
• Attractive vacation days: Minimum 16 days annual leave.
• No overtime: 5-day work week with internal goal setting.
• Free car parking space.
• Best Culture: Clear focus, diverse workplace, non-hierarchical and agile environment, growth opportunity and career path.