Putting people first, every day
BDO is a firm built on a foundation of positive relationships with our people and our clients. Each day, our professionals provide exceptional service, helping clients with advice and insight they can trust. In turn, we offer an award-winning environment that fosters a with a high priority on your personal and professional growth.
Your Opportunity
We are seeking a highly skilled and business-oriented Data Scientist to join the Tax R&D Lab within the Tax Transformation Office and help shape the future of how Tax operates across the practice.
The Tax R&D Lab serves as the experimentation, innovation, and solution development engine supporting the broader Tax Transformation roadmap and Total Tax Ecosystem vision. Working alongside other functions within the Tax Transformation Office — including Transformation Relationship Management (TRM), Data & Analytics, and Innovation & Change (I&C) — this role will help identify, prototype, build, and scale intelligent solutions that modernize workflows, improve operational efficiency, and enhance client outcomes across Tax.
This is a net new role that will focus on applying data science, artificial intelligence, machine learning, and advanced analytics to solve complex business problems, modernize workflows, and unlock new opportunities across the practice.
This is not a traditional reporting or analytics role. We are looking for someone who can combine deep technical expertise with strong business understanding, innovation mindset, and practical execution capability.
Key Responsibilities:
AI, Machine Learning & Advanced Analytics
Design, build, train, and optimize machine learning and AI models to support Tax transformation initiatives
Develop intelligent solutions leveraging NLP, generative AI, knowledge graphs, predictive analytics, and automation capabilities
Support experimentation and prototyping of emerging AI technologies and use cases within Tax
Evaluate model performance, explainability, reliability, and responsible AI considerations
Contribute to development of scalable AI-enabled workflows and intelligent operational solutions
Cross-Functional Collaboration & Business Partnership
Partner closely with Transformation Relationship Managers (TRMs), Tax practitioners, Innovation & Change (I&C), Data & Analytics, and leadership teams
Contribute to multidisciplinary teams focused on solving business problems through technology, AI, automation, and workflow redesign
Support rapid experimentation, prototyping, and scaling of innovative solutions within the Tax R&D Lab
Help bridge strategy, business operations, and technical execution to accelerate transformation outcomes
Translate complex business problems into practical analytical and AI-driven solutions
Participate in discovery sessions, design thinking workshops, ideation activities, and working groups
Data Engineering & Platform Enablement
Collect, clean, transform, and analyze large and complex datasets from multiple sources
Build and maintain scalable data pipelines and model integration frameworks
Support connected data and intelligence capabilities aligned to the broader Total Tax Ecosystem strategy
Work with cloud-based environments and modern AI infrastructure to support scalable deployment and operationalization
Collaborate with engineering teams to productionize and operationalize solutions
Innovation & R&D Collaboration
Work closely with the Tax R&D Lab to validate concepts, prototype solutions, and scale successful initiatives
Stay informed on emerging trends across AI, automation, tax technology, data science, and intelligent systems
Help evaluate external tools, platforms, and ecosystem opportunities relevant to Tax Transformation
Contribute to a culture of experimentation, innovation, and continuous improvement
Qualifications & Experience
Master’s degree or PhD in Computer Science, Data Science, Machine Learning, AI, or related quantitative discipline preferred
3+ years of experience building and deploying machine learning or AI solutions in production environments
Strong proficiency in Python and modern data science libraries including Pandas, Num Py, Scikit-Learn, Tensor Flow, or Py…
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