Join our AI Innovation Lab in Wexford, Ireland, as a Lead AI Data Scientist, and drive the development of cutting-edge AI solutions for Equifax UK&I. You will be instrumental in shaping our data and insights strategy, leading key projects, and providing technical and strategic expertise. Play a key role in the AI Innovation Lab. Responsibilities include the design, management, and delivery of analytical insights and solutions through data analysis, data management, and data science. Primary activities include delivering technical, business strategic expertise and ensuring proper governance of data sources, models, attributes, and analytic platforms. Accountable for the data and insight strategy and its execution for the company. Providing thought leadership both internally and externally regarding the use and application of data and analytics for competitive advantage. Able to communicate analytical results to generate improved business decisions and profitability. Requires specialized depth and/or breadth of expertise to operate independently and provide informal leadership to others. Uses sophisticated critical thinking skills, leading others to solve complex problems and takes a broad perspective to identify innovative solutions. Makes decisions guided by policies in nonstandard situations that impact the achievement of customer, operational, or project objectives. Forecasts and plans resource requirements for complex projects or initiatives. Combines business requirements and existing processes and data knowledge to create analytical solutions. This role demands strong AI and machine learning skills, a passion for innovation, and the ability to mentor and lead within a collaborative team. Proven ability to collaborate effectively. Passion for pushing the boundaries of AI. Lead from the data engineering perspective and contribute to AI projects. Team to develop and implement AI models. Mentor junior analysts. Conduct data science analysis and interpretation. Stay up-to-date with the latest AI trends and technologies.What you’ll do:Utilize subject matter expertise of data structures, analytics, algorithms/models, and strong computer science fundamentals to lead data preparation, analytics, and development of deployable solutions across multiple projects.Collect, analyse and interpret large data assets to define and build multiple innovative solution components leveraging business and technical expertise. Lead the analytical strategy on critical technical capabilities.Contribute to evaluation of new data sources, provide recommendations on value of data sources, and design code to improve the productivity of Equifax, enhance and update code where needed.Perform as lead technical data scientist for multiple technical and business domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc., encouraging enhanced solutions and asking questions.Able to analyse and prepare complex and new data sources and incorporate them into analytical solutions.Package, summarize, visualize and perform storytelling on analytical findings and results for management and business users.Communicate results to senior management and external stakeholders, able to communicate the strategic impact of the work.Evaluate the technical work of experienced data scientists guiding them on deliverable quality and accuracy.Serve as SME consultant for COE / Business Unit / Regions, share best practices globally.Drives execution of complex projects on time and against key metrics. Supports the team by reducing and removing obstacles or uncertainty that may arise.Forecasts, plans and coordinates applicable resources, creating a sense of urgency and accountability for self and others.Viewed as a role model for demonstrating courage, resilience, and agility in delivering results.What experience you need:BS degree in a STEM major or equivalent discipline; Master’s Degree strongly preferred.7-10 years of experience in a related role, with experience demonstrating leadership capabilities.Proven track record of designing and developing predictive models in real-world applications.Experience with model performance evaluation and predictive model optimization for accuracy and efficiency.Cloud certification strongly preferred.Additional role-based certifications may be required depending upon region/BU requirements.Requires in-depth knowledge and experience needed to operate independently with limited guidance and oversight.Applies a new perspective on existing solutions to solve complex problems.Makes decisions within guidelines and policies that impact a range of customer, operational, process, or project activities.Develops work plans for short-term assignments of moderate or high complexity.Solid experience in data analysis, machine learning, and AI development.Hands-on experience with cloud-based AI platforms and tools.What could set you apart:Experience with specific AI techniques, such as neural networks or natural language processing.A PhD in an appropriate field.Knowledge of the financial services industry.Causal analysis, difference-in-differences techniques, complex theory knowledge.Contributions to open-source AI projects.Experience with data visualization tools.Strong analytical and problem-solving skills.Ability to work independently and as part of a team.Good communication and presentation and visualisation skills.#LI-JD1#LI-Hybrid
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