Data Science Research Specialist

We Are:

We are Accenture Research, a team specialized in delivering impact through thought leadership and client insights. Our AI team sits at the frontier of applied AI, combining rigorous quantitative methods to deliver differentiated insights for Accenture’s clients.

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 Wharton, and we invest in long-horizon research alongside immediate client impact.

You Are:

You are a highly motivated, data-driven AI scientist who combines technical expertise with a passion for business strategy and research. Your economic and strategic perspective enables you to address critical client questions and clearly articulate the business impact of your analyses.

The Work:

In this role, you’ll be reporting into the Research AI Principal Director and will contribute across a portfolio of engagements. The work is highly varied with a focus on Agentic AI, synthetic personas, and thought leadership.

Key Responsibilities:

• translate complex business problems into analytical questions with clearly defined outputs.

• support insight developments for client workshops defining actionable strategic recommendations.

• design, build, and deliver AI methodologies.

• develop and iterate synthetic persona generation pipelines.

• contribute to thought leadership research papers (white papers, industry reports) to shape the conversation on relevant business topics.

Travel may be required for role - 0-80% depending on client and business needs.

Here’s What You Need:

• Minimum of 3 years of hands-on Python development experience building analytical, machine learning, or AI solutions using libraries such as Pandas, NumPy, Scikit-learn, LangChain, or similar frameworks.

• Minimum of 1 year of experience developing and deploying machine learning models, including supervised learning, unsupervised learning, simulation models, forecasting, clustering, classification, or ensemble methods.
• Minimum of 1 year of experience delivering Generative AI solutions, including prompt engineering, retrieval-augmented generation (RAG), LLM evaluation, orchestration frameworks, and agent-based workflows.
• Bachelor's degree in Business Analytics, Data Science, Economics (or a related field) or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)

Preferred Qualifications:

• Master's degree or PhD in Data Science, Computer Science, Economics, Statistics, Operations Research, Business Analytics, or a related field.
• 1+ year of experience working with Google Cloud Platform (GCP), including Vertex AI, BigQuery, Cloud Storage, or AI/ML services.
• 1+ year of experience designing or implementing synthetic data and synthetic persona generation techniques, including tools such as SDV, Gaussian Copula Synthesizer, or similar frameworks.
• Experience building multi-agent systems, autonomous workflows, or agentic AI solutions for research, analytics, or business applications.
• Experience working with vector databases, knowledge retrieval systems, embeddings, and RAG architectures.
• Prior experience contributing to published research, thought leadership, academic studies, industry reports, or collaborations with universities, think tanks, or research institutions.
• Industry expertise in one or more sectors, with a demonstrated ability to develop actionable business insights from data.
• Experience presenting findings and recommendations to executive leadership and client stakeholders.

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Professional Skills

• Strong business acumen: ability to contextualize analytical findings within a business context.
• 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.
• Enthusiasm for cross-functional, multicultural teamwork with a bias toward building durable, reusable infrastructure.

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 12/18/2026. 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 $70,350 to $196,000 Colorado $63,800 to $169,300 Connecticut $63,800 to $169,300 District of Columbia $68,000 to $180,300 Illinois $59,100 to $169,300 Maine $54,400 to $144,300 Maryland $63,800 to $169,300 Massachusetts $63,800 to $180,300 Minnesota $63,800 to $169,300 New York $66,300 to $196,000 New Jersey $68,000 to $196,000 Ohio $59,100 to $156,800 Virginia $59,100 to $180,300 Washington $80,200 to $180,300

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

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