Data Scientist

About LFXLFX is a Fung Group company, which focuses on being an incubation, investment, and operating platform providing digital solutions and digitally enabled services across the end-to-end consumer goods supply chain.See https://lfxdigital.com/Job DescriptionWe are actively seeking a highly motivated and skilled Data Scientist to join our Strategic Data Unit (SDU), a specialized data function within the Group to create and manage common data, general algorithms, and data bridges to the LFX Group. You will be dedicated to shaping and managing group-level data, AI/ML algorithms, and data connections to the LFX Group.Key Responsibilities:Data Analysis & Insight GenerationCollect, clean, and analyze data from multiple sources to uncover trends, patterns, and business opportunities.Conduct exploratory data analysis and statistical investigations to support strategic and operational decision-making.Translate complex data into clear insights, recommendations, and executive-ready presentations.Business Problem SolvingWork closely with business stakeholders to understand challenges, define analytical questions, and shape the right data-driven approach.Use data to identify opportunities for revenue growth, cost optimization, process improvement, and risk reduction.Partner with cross-functional teams to ensure insights are practical, relevant, and aligned with business priorities.Predictive Modeling & Machine LearningBuild, validate, and refine predictive models using statistical and machine learning techniques such as regression, classification, clustering, and forecasting.Evaluate model performance, test assumptions, and improve features to enhance accuracy and business usefulness.Support implementation of models into business workflows in collaboration with technical teams when needed.Applied AI & InnovationExplore and prototype AI use cases, including generative AI and multimodal applications, to improve workflows and decision support.Assess emerging tools and methods to identify high-value use cases and validate them through rapid experimentation.Contribute to proof-of-concepts and pilots that demonstrate measurable business value.Data-Driven CultureChampion a data-driven mindset by promoting experimentation, curiosity, and evidence-based decision-making.Communicate findings and recommendations clearly to both technical and non-technical audiences.Help establish best practices for analytical thinking, insight sharing, and continuous improvement.Job Requirements:Bachelor’s degree or higher in Data Science, Statistics, Computer Science, Mathematics, or a related field.2–4 years of experience in data science, applied analytics, or predictive modeling.Strong hands-on experience with Python and SQL for analysis, data manipulation, and modeling.Solid understanding of statistics, hypothesis testing, machine learning methods, and experimental design.Experience building and validating models using tools such as scikit-learn, XGBoost, PyTorch, or TensorFlow.Ability to communicate insights clearly and influence stakeholders with data-backed recommendations.Experience with data visualization tools such as Power BI or Tableau is a plus.Exposure to generative AI, multimodal models, or LangChain is an advantage.