# Consultant, Data Science at Coca-Cola

Coca-Cola is hiring a Consultant, Data Science in Dublin, Ireland. Level rates it Little AI ●○○○; you can [apply on Level](https://jobsbylevel.com/go/fefe02ea-9380-4b48-b288-631e9aaf3807).

AI Level 1, AI centrality 7 out of 100. Ireland - Dublin.

## Details

- Company: [Coca-Cola](https://jobsbylevel.com/companies/coca-cola)
- AI level: AI Level 1 (score 7 out of 100)
- Location: Ireland - Dublin
- Posted: October 8, 2026
- Apply: https://jobsbylevel.com/go/fefe02ea-9380-4b48-b288-631e9aaf3807

## Description

Job Description Summary: Role Purpose Support the analysis and delivery of defined Europe Data Science, Decision Science and AI use cases. Apply statistical, analytical and machine-learning techniques to prepare data, explore patterns, build and evaluate models, generate insights and support product delivery. Over-index on practical AI capabilities to speed up analysis and execution, including AI-assisted exploration, coding, documentation, testing, synthesis and communication. Use these capabilities responsibly, with appropriate validation, data protection, human judgement and technical review. Work within agreed scope, methods and standards, seeking guidance where the business question, technique, risk or delivery decision requires more senior judgement. Develop understanding of Europe’s markets, bottlers, customers, channels, ways of selling and regional or country-specific data so outputs are relevant and correctly interpreted. Succes is measured by accurate, well-documented and timely analysis that supports Europe use cases, with AI used responsibly to accelerate delivery while maintaining quality, reproducibility and business relevance. Key Accountabilities 1. Deliver Defined Analysis Under Guidance Complete defined analytical work packages within wider Data Science projects or products. What success looks like Objectives, scope, methods, assumptions, outputs and timelines are clarified with the project or product lead. Data is explored, prepared and analysed using appropriate statistical, machine-learning or decision-support techniques. Progress, findings, limitations and issues are communicated early and clearly. Work is peer-reviewed and updated based on technical and business feedback. Tasks are delivered to agreed quality, documentation and reproducibility standards. 2. Use AI to Accelerate Analysis and Execution Apply approved AI tools and techniques to increase speed, consistency and productivity across the analytical workflow. What success looks like AI is used to support activities such as code generation, query development, exploratory analysis, feature ideation, documentation, testing, synthesis and data storytelling. AI-generated code, analysis and content are independently checked, tested and validated before use. Confidential, personal, licensed and commercially sensitive data is handled only through approved tools and methods. The Consultant recognises where AI output may be incomplete, biased, inaccurate or unsuitable and escalates concerns appropriately. Reusable prompts, code patterns, analytical components and learning are captured where they can accelerate future delivery. 3. Support Europe-Focused Use Cases Ensure analysis reflects the regional and country context of the business question. What success looks like Relevant differences in markets, bottlers, customers, channels, routes-to-market and ways of selling are considered in analysis and interpretation. Regional, bottler, syndicated, shopper, customer, consumer, financial and country-specific data are used appropriately within agreed access and usage rights. Differences in data coverage, quality, granularity, methodology and comparability are documented. Common analytical methods are applied consistently while preserving essential local context. Findings avoid over-generalising from one market or dataset to the whole of Europe. 4. Build, Test and Evaluate Analytical Solutions Contribute to model and analytical-product development using agreed technical approaches and standards. What success looks like Features, models, experiments and analytical outputs are developed within the defined solution design. Models are evaluated using appropriate baselines, metrics, validation methods and sensitivity checks. Assumptions, uncertainty, limitations and potential bias are documented clearly. Code, notebooks, queries and outputs are organised, versioned and reproducible. The Consultant supports user testing, technical validation and business acceptance

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/consultant-data-science-at-coca-cola-3f57e5

Source: https://jobsbylevel.com/jobs/consultant-data-science-at-coca-cola-3f57e5

## Cite this page

Level. https://jobsbylevel.com/jobs/consultant-data-science-at-coca-cola-3f57e5.

Get job alerts: https://jobsbylevel.com/newsletter