AI & Analytics Engineer

Role Overview

We are looking for an AI & Analytics Manager to drive data-driven decision-making through AI/ML solutions that support revenue growth, supply chain efficiency, and operational excellence. The role covers model development, deployment, MLOps, and collaboration with business and engineering teams.

Key Responsibilities

• Develop and deploy ML models for demand forecasting, pricing/promotions, market analysis, and smart ordering.
• Productionize models using Databricks, MLflow, and PySpark.
• Build scalable feature engineering pipelines with data engineering teams.
• Translate business challenges into data science solutions and evaluate A/B tests.
• Lead MLOps, including model monitoring, drift detection, model registry, and retraining.
• Drive AI/ML initiatives supporting business strategy and digital transformation.

Qualifications

• Master’s degree or PhD in Data Science, Statistics, Computer Science, Economics, or a related field.
• 5+ years of experience in Data Science, Machine Learning, or Advanced Analytics.
• Strong Python, SQL, statistical modeling, and ML skills.
• Hands-on experience with Databricks, MLflow, PySpark, and model deployment.
• Strong business acumen, problem-solving, and A/B testing experience.
• Excellent communication and stakeholder management skills.
• Experience in FMCG, Retail, Supply Chain, or Consumer Goods is highly preferred.

-bn/lgc