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**Data Science Research Manager** with Accenture Research: Lead cross-industry AI projects, designing & deploying ML, GenAI, and agentic AI solutions on GCP. Manage teams, mentor juniors, and collaborate with global experts to drive thought leadership and client impact. Requires proven business acumen, technical fluency in AI tools, and experience managing research projects.
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Full Job Description
We Are:
We are Accenture Research, a team specialized in delivering impact through thought leadership and client insights. Our AI & Data Science team sits at the frontier of applied AI, combining rigorous quantitative methods with the latest in generative AI, agentic systems, and synthetic data generation to deliver differentiated intelligence for Accentures clients and internal stakeholders.
We operate like a research lab with the accountability of a consulting team. Our work spans industries, geographies, and problem types and we build the tools and methodologies that power it. We partner with world-class institutions including MIT Sloan and The Wharton School, and we invest in long-horizon research alongside immediate client impact.
If you want to do the most technically ambitious, strategically relevant work of your career in an environment that values rigor, craft, and intellectual honesty this is the team.
This role sits within Accenture Researchs AI team a team built to develop next-generation research capabilities. We operate at the frontier of applied AI, combining rigorous quantitative methods with the latest in generative AI, agentic systems, and synthetic data generation to deliver differentiated intelligence for Accentures clients and internal stakeholders.
You Are:
We are looking for a manager-level data scientist who brings a rare combination of very strong business acumen and technical fluency. You will support high-impact client engagements across industries by designing and deploying machine learning models, GenAI pipelines, and agentic AI workflows. You will be a core contributor to the teams portfolio of reusable, scalable analytical assets including synthetic persona systems and intelligent agent frameworks built on a GCP-first technology stack.
The Work:
In this role, youll be reporting into the Research Principal Director, AI and Data Science, and will work as a senior individual contributor and team lead across a portfolio of client and internal research engagements. The work is highly varied spanning model-building, client workshops, and thought leadership and is always tied to real decisions and real audiences.
Key Responsibilities
Translate complex business problems into well-scoped, researchable analytical questions with clearly defined outputs and success metrics
Collaborate with research leads, economists, and client-facing teams to embed AI-native tools into project delivery
Design, build, and deliver ML and GenAI-powered analytical methodologies to support client engagements across multiple industries
Develop and iterate synthetic persona generation pipelines, including large-scale digital executive personas and behavioral simulation models
Implement agentic AI workflows using frameworks such as Google ADK, A2A, and MCP protocols on GCP
Design and maintain real-time intelligence dashboards and AI-as-a-service analytical assets
Coach and mentor junior data scientists, fostering a culture of technical rigor and business relevance
What's In It For You?
Youll have access to 100+ proprietary business data sources through Accenture Researchs global data lake the kind of depth you wont find anywhere else.
Youll get a mandate to build at the frontier: agentic pipelines, synthetic intelligence systems, and AI-native research assets that are genuinely new.
Youll collaborate with world-class academic institutions including MIT Sloan and The Wharton School, with the opportunity to publish and present externally.
Youll have dedicated time to develop novel methodologies beyond immediate project constraints because we believe great research needs room to breathe.
Youll gain leadership exposure across Accentures global industry and capability networks, working with senior stakeholders across sectors.
Youll join a team that values auditability, rigor, and craft in every analytical deliverable and that holds itself to that standard.
The work location for this role will include a mix of working remotely and working onsite. With all our roles, there is some in-person time for collaboration, learning and building relationships with clients, peers, leaders and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.




