Data Science Lead

Responsibilities

• 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 base
• Technical 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.
• 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.

Requirements

• 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 experience preferred
• Advanced degree in Machine Learning, Data Science, AI, Computer Science, or a related quantitative field
• Statistical 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 preferred) and model development using Python or SAS
• Expertise 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 success
• Proven experience managing analytics or data science teams.
• What you will get:
• Personal Development - career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials and books.
• Work environment - excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time.
• Work-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in Social responsibility event.
• Opportunity for Flexible working hours and Home Office.
• #LI-Hybrid
• This is a hybrid remote/in-office role.
• Experian Careers - Creating a better tomorrow together
• Find out what its like to work for Experian by clicking here

Benefits

Additional Information

The 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.

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