AI / Data Science Consultant (Contract)

Key Responsibilities:

AI & Data Science

• Develop predictive models for demand forecasting, inventory optimization, customer segmentation, and sales prediction
• Build recommendation engines and personalization solutions for e-commerce and loyalty platforms
• Design AI solutions for pricing optimization, promotion effectiveness, and basket analysis
• Apply machine learning and analytics to improve supply chain efficiency and store operations
• Analyze customer behavior using transactional, digital, and omnichannel datasets
• Develop NLP or Generative AI solutions for customer service, retail chatbots, and product search
• Monitor model performance and continuously optimize AI solutions

Business & Consulting

• Collaborate with retail clients to identify business challenges and AI/data opportunities
• Translate retail use cases into scalable AI, analytics, and automation solutions
• Conduct workshops, assessments, and discovery sessions with stakeholders
• Provide strategic recommendations on retail AI adoption and digital transformation
• Support project planning, stakeholder management, and client presentations

Technology & Delivery

• Collaborate with engineering and cloud teams to deploy AI models into production
• Support MLOps, automation, and scalable AI architecture implementation
• Document technical designs, methodologies, and project deliverables
• Stay updated on emerging AI and retail technology trends

Requirements:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field
• Experience in AI, machine learning, analytics, or data science
• Experience working in retail, e-commerce, FMCG, or consumer-focused industries
• Strong programming skills in Python, SQL, and data analytics tools
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Knowledge of retail analytics and business KPIs
• Experience with BI tools such as Power BI, Tableau, or Looker
• Familiarity with cloud platforms (AWS, Azure, GCP)
• Strong communication and stakeholder engagement skills