Industrial AI Decision Scientist

🔥 2 minutes ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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IFF

WebsiteLinkedInAll Job Openings

10,000+ employees

🏥 Healthcare

💼 Consulting

📣 Marketing

Healthcare • Consulting • Marketing

IFF is a global leader in the creation of flavors, fragrances, food ingredients, and health & biosciences. The company leverages cutting-edge science and creativity to develop sustainable solutions across various industries, enhancing food and beverage experiences, personal care products, and more. With a strong commitment to environmental and social governance, IFF focuses on innovation and responsible sourcing to improve lives and elevate everyday products.

📋 Description

• Develop and apply data-driven decision models, optimization techniques, and machine learning to improve manufacturing, supply chain, planning, inventory, and operational performance • Translate scientific, engineering, supply chain, and operational challenges into defined decision problems with objectives, constraints, risks, uncertainties, and trade-offs • Apply mathematical optimization, operations research, simulation, forecasting, statistics, and machine learning to recommend practical actions • Develop models to compare scenarios and understand operational and financial consequences • Develop decision-support approaches for yield, throughput, quality, resource utilization, capacity, process scale-up, and production performance • Apply analytical methods across fermentation, biomanufacturing, batch chemical processes, blending, drying, separation, reaction, and other industrial processes • Support experimental prioritization, recipe and operating-condition optimization, production sequencing, and reduction of process variability • Develop optimization solutions for demand and supply planning, production scheduling, inventory, safety stock, logistics, material allocation, and supply networks • Model uncertainty in demand, lead times, raw material availability, production capacity, process performance, and customer requirements • Help operational teams balance service, cost, working capital, capacity, and risk • Integrate decision models into applications, agents, dashboards, and enterprise workflows • Combine predictive models, optimization logic, business rules, domain knowledge, and human judgment into explainable decision-support solutions • Contribute to model validation, documentation, monitoring, governance, and continuous improvement • Collaborate with AI engineers, data engineers, domain experts, planners, scientists, and operational teams • Translate sophisticated analytical models into recommendations that operational teams understand, trust, and use

🎯 Requirements

• Master’s or PhD degree in Operations Research, Industrial Engineering, Applied Mathematics, Chemical Engineering, Process Systems Engineering, Supply Chain, Computer Science, Data Science, Statistics, or a related quantitative field • Experience applying mathematical modeling, optimization, simulation, forecasting, statistics, machine learning, or operations research to practical problems • Ability to translate ambiguous scientific, engineering, or business questions into decision variables, objectives, constraints, assumptions, and performance measures • Hands-on programming experience in Python or another language used for optimization, simulation, analytics, or scientific computing • Knowledge of linear or mixed-integer programming, nonlinear optimization, stochastic or robust optimization, Bayesian optimization, Monte Carlo simulation, discrete-event simulation, forecasting, or predictive analytics • Experience working with manufacturing, planning, inventory, supply chain, laboratory, quality, transactional, or time-series data • Ability to validate models and communicate assumptions, uncertainty, sensitivity, trade-offs, limitations, and practical implications • Collaborative and delivery-oriented mindset focused on measurable value, explainability, trust, and adoption • Capabilities demonstrated through academic research, internships, industrial projects, or professional experience • Senior candidates should demonstrate independent project leadership and operational impact • Experience applying decision science in biomanufacturing, industrial operations, supply chain, planning, logistics, inventory, fermentation, or batch chemical processes • Experience with Gurobi, IBM ILOG CPLEX, FICO Xpress, Google OR-Tools, Pyomo, JuMP, PuLP, or CVXPY is advantageous • Experience with production scheduling, inventory policy design, network optimization, simulation, digital twins, design of experiments, or optimization under uncertainty • Experience integrating analytical models with SAP, MES, LIMS, manufacturing historians, planning systems, or cloud data platforms • Experience developing reusable decision products • Experience combining optimization and simulation models with AI agents, large language models, natural-language interfaces, or knowledge systems

🏖️ Benefits

• Inclusive workplace focused on diversity and belonging • Opportunity to work with scientists, engineers, planners, operational teams, and digital specialists • Work on impactful industrial AI, manufacturing, supply chain, and operational optimization projects