{"id":2850258,"url":"https://alion.io/job/the-coca-cola-company-consultant-data-science","title":"Consultant, Data Science","company":{"id":1889,"name":"The Coca-Cola Company","domain":"coca-colacompany.com","url":"https://alion.io/company/the-coca-cola-company","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":95,"open_postings":62,"ghost_share":0.048,"stale_share":0.065,"repost_share":0.371,"time_to_fill_p50_days":14,"computed_at":"2026-11-05T05:54:30Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dublin, Ireland"],"countries":["IE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":61000,"max_usd":159000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2491},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Hypothesis","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"closed","first_seen_at":"2026-10-08T00:00:00Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-23T16:13:36Z","board_verified":false,"closed_at":"2026-10-23T16:13:36Z","days_open":15,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":15},"description":"Job Description Summary:\nRole Purpose\nSupport 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.\nOver-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.\nWork 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.\nSucces 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.\nKey Accountabilities\n1. Deliver Defined Analysis Under Guidance\nComplete defined analytical work packages within wider Data Science projects or products.\nWhat success looks like\nObjectives, scope, methods, assumptions, outputs and timelines are clarified with the project or product lead.\nData is explored, prepared and analysed using appropriate statistical, machine-learning or decision-support techniques.\nProgress, findings, limitations and issues are communicated early and clearly.\nWork is peer-reviewed and updated based on technical and business feedback.\nTasks are delivered to agreed quality, documentation and reproducibility standards.\n2. Use AI to Accelerate Analysis and Execution\nApply approved AI tools and techniques to increase speed, consistency and productivity across the analytical workflow.\nWhat success looks like\nAI is used to support activities such as code generation, query development, exploratory analysis, feature ideation, documentation, testing, synthesis and data storytelling.\nAI-generated code, analysis and content are independently checked, tested and validated before use.\nConfidential, personal, licensed and commercially sensitive data is handled only through approved tools and methods.\nThe Consultant recognises where AI output may be incomplete, biased, inaccurate or unsuitable and escalates concerns appropriately.\nReusable prompts, code patterns, analytical components and learning are captured where they can accelerate future delivery.\n3. Support Europe-Focused Use Cases\nEnsure analysis reflects the regional and country context of the business question.\nWhat success looks like\nRelevant differences in markets, bottlers, customers, channels, routes-to-market and ways of selling are considered in analysis and interpretation.\nRegional, bottler, syndicated, shopper, customer, consumer, financial and country-specific data are used appropriately within agreed access and usage rights.\nDifferences in data coverage, quality, granularity, methodology and comparability are documented.\nCommon analytical methods are applied consistently while preserving essential local context.\nFindings avoid over-generalising from one market or dataset to the whole of Europe.\n4. Build, Test and Evaluate Analytical Solutions\nContribute to model and analytical-product development using agreed technical approaches and standards.\nWhat success looks like\nFeatures, models, experiments and analytical outputs are developed within the defined solution design.\nModels are evaluated using appropriate baselines, metrics, validation methods and sensitivity checks.\nAssumptions, uncertainty, limitations and potential bias are documented clearly.\nCode, notebooks, queries and outputs are organised, versioned and reproducible.\nThe Consultant supports user testing, technical validation and business acceptance activities.\n5. Translate Analysis into Clear Business Insight\nHelp connect analytical outputs to the decision or action they are intended to support.\nWhat success looks like\nResults are explained in clear language for technical and non-technical audiences.\nVisualisations and narratives focus on the business question, evidence, implications and limitations.\nRecommendations stay within the strength of the evidence and clearly identify where further analysis is required.\nFeedback from users and stakeholders is incorporated into analysis and product improvements.\nMeasures of usage, adoption and value are supported where relevant to the use case.\n6. Collaborate Across the EOU Delivery Team\nWork effectively as part of cross-functional Data & Intelligence teams.\nWhat success looks like\nThe Consultant collaborates with Data Scientists, Decision Scientists, Product Managers, Data Engineers, Governance specialists, Architects and business colleagues.\nDependencies on data, engineering, access, governance and business input are identified and tracked.\nAgile ceremonies, technical reviews, documentation and team ways of working are followed consistently.\nKnowledge, code, methods and lessons are shared to improve reuse and team capability.\nGuidance is sought early when scope, analytical method, responsible-AI risk or business interpretation is unclear.\nEducation Qualifications\nBachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, Analytics or a related quantitative field.\nA relevant Master’s degree is beneficial but not required.\nRelevant learning or certifications in machine learning, AI, analytics, cloud platforms, Python, SQL, MLOps or responsible AI are advantageous.\nDemonstrated continuous learning in Generative AI, analytical methods and emerging Data Science technologies is expected.\nSkills and Experience You Need\nAround five years of relevant experience in Data Science, Advanced Analytics, Machine Learning, Decision Science, Statistics, AI or a related quantitative role.\nPractical experience using Python, SQL or equivalent analytical tools for data preparation, exploratory analysis, modelling and visualisation.\nExperience applying statistical analysis, predictive modelling, experimentation, classification, forecasting, optimisation or related methods to defined problems.\nPractical experience using generative AI or AI-assisted development tools to accelerate analytical work, with evidence of validating and improving generated outputs.\nExperience working with structured and unstructured data, including data-quality assessment and documentation of limitations.\nUnderstanding of model evaluation, feature engineering, hypothesis testing and reproducible analytical workflows.\nExperience collaborating in Agile, product or project delivery teams and working with Data Engineering or business stakeholders.\nAwareness of cloud-based analytics, MLOps, model lifecycle management and responsible AI is beneficial.\nExperience with European, multi-market, bottler, syndicated, shopper, customer, consumer, financial or third-party data is advantageous.\nStrong problem-solving, attention to detail, communication and continuous-learning skills.\nCore Skills\nAI-Assisted Analytics and Delivery\nData Science and Advanced Analytics\nPython and SQL\nStatistical Analysis and Hypothesis Testing\nMachine Learning and Predictive Modelling\nExploratory Data Analysis\nFeature Engineering and Model Evaluation\nData Visualisation and Storytelling\nEurope Regional Data Understanding\nReproducible Analysis and Documentation\nResponsible AI Awareness\nAgile Cross-Functional Delivery\nSkills:\nLocation(s):\nIrelandCity/Cities:\nDublinTravel Required:\n00% - 25%Relocation Provided:\nNoJob Posting End Date:\nOctober 20, 2026Our Purpose and Growth Culture:\nWe are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors - curious, empowered, inclusive and agile - and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.","description_format":"text","description_chars":8457,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Soft Drinks","FMCG & Consumer Brand Groups"],"lifecycle":[{"event":"open","at":"2026-10-19T12:57:48Z"},{"event":"close","at":"2026-10-23T16:13:36Z"}],"visa":[],"liveness":null,"pay":null,"html_url":"https://alion.io/job/the-coca-cola-company-consultant-data-science","json_url":"https://alion.io/job/the-coca-cola-company-consultant-data-science.json","meta":{"generated_at":"2026-11-06T02:51:54Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":4869,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-07T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1889},"rest":"https://alion.io/mcp/rest/get_company?id=1889"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fthe-coca-cola-company-consultant-data-science"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fthe-coca-cola-company-consultant-data-science"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fthe-coca-cola-company-consultant-data-science"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/the-coca-cola-company-consultant-data-science\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fthe-coca-cola-company-consultant-data-science"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":2850258}},{"tool":"search_jobs","arguments":{"company":"coca-colacompany.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":2850258},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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