Senior Data Scientist

C5i C5i is a pure-play AI & Analytics provider that combines the power of human perspective with AI technology to deliver trustworthy intelligence. The company drives value through a comprehensive solution set, integrating multifunctional teams that have technical and business domain expertise with a robust suite of products, solutions, and accelerators tailored for various horizontal and industry-specific use cases. At the core, C5i’s focus is to deliver business impact at speed and scale by driving adoption of AI-assisted decision-making. C5i caters to some of the world’s largest enterprises, including many Fortune 500 companies. The company’s clients span Technology, Media, and Telecom (TMT), Pharma & Lifesciences, CPG, Retail, Banking, and other sectors. C5i has been recognized by leading industry analysts like Gartner and Forrester for its Analytics and AI capabilities and proprietary AI-based platforms. Global offices United States | Canada | United Kingdom | United Arab of Emirates| India Role Overview The Data Scientist will work at the intersection of manufacturing operations, data science, and business strategy. The role demands curiosity to explore production data, creativity to design advanced models, and clarity to translate insights into actionable plant-level decisions. You’ll focus on improving yield, quality, throughput, and sustainability using predictive and prescriptive analytics. Key Responsibilities 1. Manufacturing & Process Analytics Analyze data from brewhouse, packaging, and distribution plants (OEE, downtime, energy, waste, quality). Develop digital twins or predictive models to optimize fermentation cycles, bottling efficiency, and maintenance schedules. Conduct root cause analysis for yield loss, spoilage, or deviation in batch quality. Use SPC, multivariate process control, and anomaly detection for process stability. 2. Machine Learning & Advanced Modeling Build regression, classification, and time-series models using scikit-learn , XGBoost , statsmodels , etc. – Must have Apply feature selection, dimensionality reduction (PCA, PLS), and Bayesian optimization for parameter tuning. – Except Bayesian rest are must haves Design prescriptive models using optimization and simulation (MILP, Monte Carlo, or agent-based approaches). Implement predictive maintenance , energy forecasting , and process optimization algorithms. Must have Skills: Required Expertise Core ML & DS Advanced knowledge of regression, classification, ensemble models, and feature engineering. Deep grasp of causality, experimental design, and stochastic processes. Manufacturing Domain Understanding of plant KPIs (OEE, downtime, waste, yield), production line logic, batch processes, and SPC. Programming Python (scikit-learn, pandas, NumPy, statsmodels, optuna), SQL, GitHub Tools & Systems Power BI / Tableau, cloud (Azure/GCP/AWS), manufacturing data systems (MES, SCADA, ERP) Qualifications: Bachelor’s or Master’s degree in Engineering, Data Science, or related fields. 10+ years of relevant experience. Experience in alcoholic beverage or process manufacturing. Strong analytical, communication, and problem-solving ability. Comfortable working cross-functionally in a fast-paced, operations-focused environment. Working from Office three days a week mandatory C5i is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, religion, sex, sexual orientation, age, marital status, disability, gender identity, etc. If you have a disability or special need that requires accommodation, please keep us informed about the same at the hiring stages for us to factor necessary accommodations.