Requirements
3+ years of experience developing in Python and SQL / Machine Learning (ML) solutions. Hands-on GenAI experience (LLMs, RAG, Function Calling, MCP, Prompt Eng.). Strong Python and SQL coding skills. Solid ML and statistical modeling knowledge and understanding. Experience delivering production-ready solutions consuming APIs, deployments and endpoints. Analytical mindset, strong ownership and ability to work effectively within a team. Experience with large-scale distributed data processing (PySpark). Experience with Databricks and Azure Services. Applied experience in ML fields like Regression, Classification, Time Series, etc. Experience with GenAI frameworks and principles (e.g. RAG, LangChain, etc).
Description
Location: Egypt, CairoDepartment: DIAIAs a Data Scientist part of the Data Insights & AI team, you will design, develop, and deploy advanced analytics solutions that address real business challenges across multiple domains, including Route-to-Market, Omnichannel, Revenue Growth Management, Supply Chain, and Finance. You will work end-to-end, from identifying opportunities with business stakeholders to building scalable, production-ready solutions using Microsoft Azure and Databricks in order to drive CCHBC's data driven transformation. The role combines Data Engineering, Analytics and Statistics, Applied Machine Learning, and Generative AI in combination with best software practices to deliver measurable business impact across our 29 marketsYOUR NEW KEY RESPONSIBILITIES:Dive into large and diverse datasets to identify patterns and opportunities.Apply statistical and AI-driven techniques to tackle business challengesCollaborate with business stakeholders to understand challenges and identify high impact Analytical use casesTranslate business problems to data solutions and communicate findings efficiently to non technical audiences.Assist with the whole Data Product Lifecycle, from Proof of Concept to production. - Team up with other Data Scientists, Data Engineers, AI and GenAI Engineers in an Agile way of work.ARE THESE YOUR SECRET INGREDIENTS3+ years of experience developing in Python and SQL / Machine Learning (ML) solutionsHands-on GenAI experience (LLMs, RAG, Function Calling, MCP, Prompt Eng.)Strong Python and SQL coding skills - Solid ML and statistical modeling knowledge and understandingExperience delivering production-ready solutions consuming APIs, deployments and endpoints - Analytical mindset, strong ownership and ability to work effectively within a teamExperience with large-scale distributed data processing (PySpark)Experience with Databricks and Azure ServicesApplied experience in ML fields like Regression, Classification, Time Series, etcExperience with GenAI frameworks and principles (e.g. RAG, LangChain, etc)Nice toHaveExperience in creating dashboards for data insights consumption with solutions like Power BI/Tableu/QlikFamiliarity with DevOps best practices - Experience in Supply Chain Sector - Experience with Deep Learning (besides GenAI applications)Familiarity with MLOps | CI/CD practices - Software engineering experienceABOUT YOUR NEW TEAM:We are a family of 33 thousand engaged people. Each and every one of us is the secret ingredient of Coca-Cola HBC – one of the world's largest bottlers and partner of The Coca-Cola Company. Our every day mission is to delight over 715 million consumers by offering a choice of over 100 iconic global and favorite local brands in the moments that matter, 24 hours a day, 7 days a week. We are a truly empowered and talented team that drives superior results by winning and learning every day in 29 countries, across 3 continents. Our success comes from us working together as one to make a positive difference for the local communities we serve.AT COCA-COLA HBC, DIVERSITY HELPS US THRIVEIncluding and celebrating different people and opinions is embedded in our growth story. We are committed to fostering diverse teams that reflect the communities we serve, and to creating an inclusive environment where everyone's unique perspectives are valued and heard. By constantly building a diverse and inclusive workplace, we enrich our decision-making and provide ever more innovative solutions and shared value.