Data Science Lead

Google Chrome Microsoft Edge Apple Safari Mozilla Firefox Data Science LeadFull-timeEmployee Status: RegularRole Type: HybridDepartment: AnalyticsSchedule: Full TimeCompany DescriptionExperian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.Job DescriptionThe Data Science Lead will manage and mentor analytics team members while remaining hands-on with data science projects. Your role will involve leading EAMRM data science priorities, collaborating with cross-functional stakeholders, and ensuring alignment with regulatory and governance standards. You will also support innovation in GenAI and platform analytics, leveraging big data cloud platforms and advanced modeling techniques.You will report to the Director of Data Science and Gen AI. What you'll do:Lead and guide a team of innovation-focused data scientists. Partner with Leaders, Analytic Consultants, Engineers, Account Executives, Product Managers, and external partners to bring new innovative solutions to market that provide impact to Experian's broad client baseTechnical Execution-Develop and deploy models using Python or PySpark on big data cloud platforms (e.g., Ascend).Ensure adherence to model risk management and governance processes.Innovation & Strategy-Support GenAI and platform analytics innovation projects. Craft advanced machine learning analytical solutions and prototypes to extract insights from diverse structured and unstructured data sources. Articulate model processes and outcomes, documenting and presenting findings and performance metrics, and translating complex findings into actionable insights.Collaborate with Engineering, Research, and Data Science teams in the design and implementation of Machine Learning, Dashboarding, Ad Hoc Analysis and AI applications in a cloud-native big data (AWS) computing platform.Leverage Gen AI and model development tools to develop and maintain new models. Dissect and document vast datasets, analyzing them to highlight patterns and insights. Develop and assess analytic tools developed internally and externally.Stay informed about regulatory changes, technological advancements, and model risk management processes and controls to ensure the technology stack meets all compliance requirements. Research, integrate, and test new data assets and software from different sources into Experian's analytic platform.Gather feedback from internal and external clients to guide new product development, feature prioritization, and product evolution of tools and capabilities.QualificationsWhat you'll bring:7+ years of experience in AI, data science, or predictive modeling, with a track record for managing complex, hands-on analytical technology, innovation, and client-focused projects. Data science team management experienceAdvanced degree in Machine Learning, Data Science, AI, Computer Science, or a related quantitative fieldStatistical modeling proficiency in at least one programming language, with coding skills in Python, and proficiency with distributed computing frameworks (AWS). Experience with large data analysis using Spark (PySpark) and model development using Python or SASExpertise with Hadoop and NoSQL related technologies such as Map Reduce, Hive, HBase, MongoDB, Cassandra. Solid understanding of ML algorithms (e.g., XGBoost, GANs, clustering, graph algorithms, hyperparameter tuning)Experience applying Generative AI-based tools and rapid prototyping of new concepts from ideation through early client successProven experience managing analytics or data science teams.Additional InformationWhat you will get:Personal Development - career pathway for professional growth supported by...