Job Summary

Finance Transformation Office (FTO) is redefining the finance function through innovative data science, machine learning, and agentic AI solutions. We build intelligent automation that showcases Workday's AI capabilities, streamlines complex financial processes, and turns data into actionable insights.

We are building an Agentic Finance Ecosystem: a connected set of intelligent agents that make financial data continuously decision-ready, automate end-to-end workflows, and unlock strategic capacity across Finance. Guided by a Customer Zero mindset, we apply our solutions internally first proving measurable business value, establishing best practices, and creating benchmarks that help customers transform their own finance organizations. Join a team where finance expertise, data science, and AI engineering come together to shape the future of intelligent finance.

Responsibilities

- Expertise in data science and machine learning, with experience applying predictive analytics and statistical techniques to complex business problems.

- Experience building production-oriented AI or ML solutions, including data preparation, model development, evaluation, deployment, and monitoring.

- Familiarity with generative AI, large language models, retrieval-augmented generation, AI agents, and workflow orchestration.

- Solid programming skills and experience working with large-scale, diverse data sources.

- Ability to communicate technical concepts and analytical insights clearly to business stakeholders and influence decisions through data.

- A practical, outcome-oriented mindset with a focus on delivering automation, insight, and measurable business value.

Basic Qualifications

- 8 - 10 years experience with design, develop, and program methods, processes, and systems to consolidate and analyze diverse structured and unstructured data sources.





- Build and deploy machine learning models for forecasting, classification, anomaly detection, optimization, risk identification, and fraud prevention.

- Develop agentic AI solutions that can reason over finance data, orchestrate workflows, automate repetitive processes, and surface proactive recommendations.

- Create robust data pipelines and automated processes to cleanse, integrate, validate, and evaluate large datasets from multiple disparate sources.

- Partner with Finance stakeholders, product teams, and service organizations to identify analytical questions, define success metrics, and run data-driven experiments.

- Apply statistical analysis, predictive modeling, natural language processing, generative AI, and optimization techniques to solve complex finance problems.

- Translate complex findings into clear, meaningful, and actionable insights for technical and non-technical stakeholders.

- Evaluate model performance, monitor production solutions, identify sources of bias or drift, and continuously improve solution quality, reliability, and business impact.

- Establish best practices for responsible AI, model governance, data quality, privacy, and secure use of financial information.

- Prototype and scale AI capabilities that demonstrate Workday's Customer Zero approach, creating proven solutions and reusable patterns for broader customer value.

- Collaborate with engineers to productionize models, integrate AI solutions into existing workflows, and ensure systems are scalable, maintainable, and performant.

- Stay current on advances in AI, ML, data science, and agentic systems, applying new techniques where they can deliver tangible value for Finance.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Sr Data Scientist, AI Innovation (Pune)
🏢 Workday
📍 Pune