Senior Scientist (Data Science & Chemometrics)

Pernod Ricard
Cork
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: phdSkills: ["Scientific communication","Cross-functional collaboration","Data interpretation","Presentation","Stakeholder engagement"]

Apply chemometrics, multivariate statistics, machine learning and predictive modelling to analytical, sensory, process and consumer datasets for the global spirits portfolio. Build and validate models that link chemical composition and production/maturation conditions to quality and sensory outcomes. Integrate data across R&D functions, support digital platforms (LIMS/ELN/Compusense), develop dashboards, and translate complex results into actionable recommendations for technical and business stakeholders.

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Pernod Ricard
Pernod Ricard
1 week ago

Senior Scientist (Data Science & Chemometrics)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Apply chemometrics, multivariate statistics, machine learning and predictive modelling to analytical, sensory, process and consumer datasets for the global spirits portfolio. Build and validate models that link chemical composition and production/maturation conditions to quality and sensory outcomes. Integrate data across R&D functions, support digital platforms (LIMS/ELN/Compusense), develop dashboards, and translate complex results into actionable recommendations for technical and business stakeholders.
Location: Cork
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop, validate and deploy chemometric, statistical and machine learning models to generate insights from analytical, sensory, process and consumer datasets.
  • •Build predictive and explanatory models linking chemical composition, production parameters and maturation conditions to quality, consumer preference and product performance.
  • •Apply multivariate statistical techniques (including PCA, PLS, cluster analysis, Design of Experiments, mixed models, regression, classification) and perform model validation.
  • •Integrate sensory, analytical, process, formulation and consumer data into insight frameworks and develop models that predict sensory perception and product behaviour from analytical measurements.
  • •Support digital transformation by integrating and using platforms including LIMS, ELN, Compusense and databases; define data governance best practices and create dashboards and reporting for technical and non-technical stakeholders.

Pay and Benefits

Perks:Profit SharePaid LeaveParental LeaveWellness Stipend

Key Requirements

  • •PhD (or equivalent) in Chemometrics, Data Science, Statistics, Analytical Chemistry, Food Science, or a related discipline.
  • •At least 5 years’ experience applying chemometric and statistical methods in food, beverage, consumer goods, life sciences, pharmaceuticals, or related industries.
  • •Experience working with complex multivariate datasets.
  • •Ability to translate scientific data into business insights.
  • •Strong knowledge of multivariate statistics, chemometrics, predictive modelling, experimental design, and data visualisation.
Experience:5+ yearsFoodBeverageConsumer goodsLife sciencesPharmaceuticals
Education:PhD / Doctorate
Skills:Scientific communicationCross-functional collaborationData interpretationPresentationStakeholder engagement
Tech Stack:PythonPower BIMATLABRSIMCALIMSELNCompusenseGC-MSLC-MSHPLCICPFTIR

Company Brief

Pernod Ricard
Global producer and distributor of premium wines and spirits, with a portfolio of internationally recognized alcoholic beverage brands. Operates across markets worldwide through manufacturing, marketing, and large-scale distribution.
Industry: Food & Beverage
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Paris, France
Founded: 1975
WebsiteLinkedIn