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 team's 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, you'll 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?

• You'll have access to 100+ proprietary business data sources through Accenture Research's global data lake - the kind of depth you won't find anywhere else.
• You'll get a mandate to build at the frontier: agentic pipelines, synthetic intelligence systems, and AI-native research assets that are genuinely new.
• You'll collaborate with world-class academic institutions including MIT Sloan and The Wharton School, with the opportunity to publish and present externally.
• You'll have dedicated time to develop novel methodologies beyond immediate project constraints - because we believe great research needs room to breathe.
• You'll gain leadership exposure across Accenture's global industry and capability networks, working with senior stakeholders across sectors.
• You'll 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.

Here's What You Need:

• Minimum of 5 years delivering analytical outputs in client-facing or commercial settings, with demonstrated ability to translate technical findings for executive audiences.
• Minimum of 5 years applying machine learning methods, including simulations, supervised/unsupervised models, NLP, and time series.
• Minimum of 2 years of experience with generative AI - including LLM prompting strategies, retrieval-augmented generation (RAG), and multi-modal models.
• Minimum of 2 years of hands-on experience designing and building agentic AI architectures, including tool-use patterns, planning loops, and multi-agent orchestration.
• Bachelor's degree in Data Analytics, Data Science, Strategy, Economics, or a related field with minimum 5 years of work experience.
• Master's degree with minimum 5 years of work experience. PhD is a plus.

Technical Skills

• Python (advanced): modeling, data wrangling, pipeline development, and API integration.
• Machine learning: supervised and unsupervised methods, ensemble models, time series, NLP, and text analytics.
• Generative AI: LLM prompting, fine-tuning, retrieval-augmented generation (RAG), and multi-modal models.
• Agentic AI: experience building agent architectures including tool use, planning loops, and multi-agent orchestration.
• Synthetic data generation: methods such as SDV, Gaussian Copula Synthesizer, IPF calibration, or equivalent.
• Google Cloud Platform (GCP) - critical requirement: Cloud Run, BigQuery, Vertex AI, Secret Manager, and GCP deployment architecture.

Soft Skills & Mindset

• Strong business acumen: ability to contextualize analytical findings within industry dynamics and C-suite decision-making.
• Excellent communication skills - written, verbal, and visual - for presenting to executive and non-technical audiences.
• Strategic problem-solving mindset: comfortable moving from ambiguous business context to a structured analytical approach.
• Strong project and stakeholder management capabilities in fast-paced, global environments.
• Enthusiasm for cross-functional, multicultural teamwork with a bias toward building durable, reusable infrastructure.

Bonus Points if You Have:

• Experience designing and facilitating client workshops, co-creation sessions, or executive briefings in a consulting or advisory context.
• Published thought leadership - white papers, industry reports, or HBR-style research - with demonstrated ability to synthesize complex AI topics for non-technical audiences.
• Deep vertical expertise in at least one industry (e.g., financial services, consumer goods, healthcare, energy) with a track record of designing industry-specific AI solutions.
• Experience with synthetic data generation methods (SDV, Gaussian Copula Synthesizer, IPF calibration, or equivalent) in research or commercial settings.
• Background in academic or institutional research collaborations, such as with business schools or think tanks.

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 07/30/2026.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

U.S. Employee Benefits | Accenture

Role Location Annual Salary Range

California $94,400 to $266,300

Cleveland $87,400 to $213,000

Colorado $94,400 to $230,000

District of Columbia $100,500 to $245,000

Illinois $87,400 to $230,000

Maine $80,400 to $196,000

Maryland $94,400 to $230,000

Massachusetts $94,400 to $245,000

Minnesota $94,400 to $230,000

New York $87,400 to $266,300

New Jersey $100,500 to $266,300

Virginia $87,400 to $245,000

Washington $100,500 to $245,000