Role detail
Job discovery
Loading Irish roles matched to your profile…
Role detail
Business Understanding & Impact: Demonstrate proficient business acumen by aligning data science initiatives with strategic goals and proactively identifying opportunities for innovation and optimization. Leverage understanding of incentive compensation design, levers, plans, metrics, roles, and governance processes. Collaborate with business teams to frame analytical questions, define hypotheses, and design experiments that inform product enhancements and client solutions. Translate business objectives into analytical frameworks that help optimize compensation plan design and implementation decisions. Present findings, recommendations, and tradeoffs to leadership, including plan design rationale, cost implications, risk assessments, and expected business outcomes. Collaborate with business stakeholders to define hypotheses, evaluate alternative plan approaches, and quantify the impact of compensation changes before deployment. Design, develop, and implement scalable methods, processes, and systems to consolidate and analyze large, diverse datasets—including unstructured “big data”—to generate actionable insights for business impact. Build and maintain data pipelines and automated processes to cleanse, integrate, and evaluate data from multiple sources, ensuring high data quality and availability. Apply advanced statistical techniques and machine learning models (e.g., classification, regression, NLP, forecasting) to solve complex business problems and drive measurable outcomes. Develop AI agents and intelligent decision-support tools that enable Plan Design and Implementation teams to access compensation insights through natural language interactions. Evaluate performance and ensure alignment with business objectives. Collaborate cross-functionally with internal and external stakeholders to define project roadmaps, evaluate model performance, and ensure continuous improvement through feedback loops. Contribute to the development of global tools and processes for plan design and plan implementation analytics and insights. Assesses programs for potential risks, verifying adherence to company policies and procedures when executing compensation practices. Identifies control measures and governance needs. Contributes to code and model reviews with actionable feedback, and maintains proficient capability in modeling, coding, and debugging techniques — including isolating and resolving errors and defects. Provides feedback to product groups on non-optimized features and explores potential for new capabilities. Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. 5+ years of hands-on experience translating business requirements into data-driven solutions using ML algorithms (e.g., classification, regression, clustering, NLP etc.). 3+ years of experience in creating interactive dashboards and business insights using Power BI, Tableau, Looker, or equivalent visualization tools. 3+ years of experience in business planning. Communicates clearly and collaborates effectively across cross-functional teams. Experience managing stakeholder and leader communications effectively. Hands-on expertise with Databricks, Azure Synapse, Snowflake, or similar cloud-based analytics platforms. Proficiency with Python and data science libraries including Pandas, NumPy, PySpark, and Scikit-learn for data preparation, analysis, and modeling. Experience using Jupyter Notebooks, VS Code, or equivalent development environments for exploratory analysis and solution development. Experience designing, building, or deploying agentic AI systems — including autonomous agents, multi-agent orchestration, tool-use frameworks, or agent-based workflows using platforms such as LangChain, AutoGen, Semantic Kernel, or similar is a plus.