Specialist - AI Engineering

External Data Science ML Specialist 1 Role Objective Provide handson Data Science and Machine Learning expertise to develop a Retailer Order Recommendation Engine working under the direction of the internal Project Manager and Lead Data Scientist Primary scope Feature Engineering ML Model Recommendation Engine 2 Key Responsibilities Feature Engineering Analyse historical retailer ordering data and identify relevant purchasing patterns Develop features covering order behaviour SKUproduct affinity seasonality retailer attributes and profitability Build reusable MLready feature pipelines in Databricks Address data quality missing values outliers and data leakageML Model Development Develop and evaluate models for SKU recommendationranking and order quantity prediction Establish appropriate baseline models and performance metrics Perform model tuning feature selection and historical backtesting Assess model robustness across different retailer segments Apply appropriate model explainability techniques Recommendation Engine Convert ML outputs into actionable retailerspecific recommendations Develop SKUSKUbundle ranking and quantity recommendation logic Incorporate profitability and agreed business rules Generate confidence scores and recommendation driversexplanations Prepare the engine for integration with the servingAPI layer Internal Validation Documentation Support business validation and refinement of recommendations Document features models recommendation logic assumptions and limitations Conduct knowledge transfer to the internal Data Science team 3 Key Deliverables Feature Engineering Pipeline MLready features and documentation Validated ML Models SKU rankingrecommendation and quantity prediction models Recommendation Engine SKUbundle quantity confidence and explanation outputs 
 Validation Results Baseline comparison model performance and historical backtesting 
 Technical Documentation Knowledge Transfer 
 4 Required Technical Skills 
 Strong practical experience in Data Science Machine Learning 
 Strong Python and SQL skills 
 Experience with recommendation systems ranking models or propensity modelling 
 Experience with transactionalcustomerproduct data 
 Strong feature engineering and model evaluation skills 
 Experience with Databricks and MLflow preferred 
 Internal 
 5 Recommendation Analytical Skills 
 Experience in use cases which includes one or more of 
 ProductSKU recommendation 
 Purchasecustomer affinity 
 Basket or association analysis 
 Personalisation 
 Demandorder prediction 
 Retail or transactional analytics 
 6 Preferred Experience 
 3 years of experience 
 B2B ordering or distributorretailer analytics Product recommendation or demandorder prediction Largescale transactional datasets Databricksbased ML projects 7 Engagement Structure Duration 3months with optional to extend if required External Specialist Focus Feature Engineering ML Model Development Recommendation Engine