Insurance Industry & Function AI Decision Science Consultant

Accenture helps the world's leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world.

We bring together the talent of our approximately 799,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes ough our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology.

We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at

In Consulting we work with C-suite executives, leaders and boards of the world's leading organizations, helping them reinvent every part of their enterprise to drive greater growth, enhance competitiveness, implement operational improvements, reduce cost, deliver sustainable 360° stakeholder value, and set a new performance frontier for themselves and the industry in which they operate. Our deep industry and functional expertise is supported by proprietary assets and solutions that help organizations transform faster and become more resilient.

Our Decision Science practitioners use Insurance Industry & Functional domain expertise along with agentic AI knowledge to design, develop and reinvent processes with AI to drive efficiency and growth.  You will be responsible for leveraging advanced analytics, machine learning, and AI technologies to create decision-making systems. This role requires a blend of strong analytical mindset, technical expertise, and the ability to communicate complex findings for both technical and non-technical stakeholders to deliver innovative solutions aligned with Accenture's commitment to driving 360° value for clients.

As an Insurance Industry & Function AI Decision Science Consultant, you will:

+ Assist in the delivery of Data Science, Artificial Intelligence, Analytics initiatives / program

+ Collaborate with onshore and offshore teams to execute projects.

+ Understand and be able to bridge between business and technical domains (for both internal and external purpose)

+ Engage with business and analytics stakeholders to understand their needs and build relationships.

+ Support the sales process by contributing to sales solutioning for DS & ML related opportunities.

+ Develop and customize DS / ML / AI / Analytics models and solutions for specific business problems within an industry or function.

+ Collaborate across Accenture's network and partner with strategy, consulting, and tech teams in the sales and delivery processes.

+ Identify AI use cases in an industry and/or function by understanding an organization's goals and areas of need, developing the business case, determining ROI, and creating the transformation roadmap.

+ Advise organization on adoption of responsible AI solutions and governance by training users on new processes, maintaining solutions, tracking results, and communicating the realized value.

Ability to travel up to 80%; travel as needed based on client expectations.

Here's What You Need:

+ Bachelor's Degree, preferably in Data Science, Computer Science, Statistics, or a related field.

+ 3+ years of experience in Data Science, Machine Learning, AI, or Advanced Analytics.

Nice to Have:

+  Experience delivering project work in a consulting environment to Insurance clients OR Insurance industry experience

3+ years of experience building decision-based frameworks and models to drive insights.

+ 3+ years of high value consulting experience or equivalent internal consulting experience.

+ 3+ years of experience leading work streams and meeting deadlines.

+ 3+ years of large-scale delivery experience with minimal help.

+ Proven track record of developing and implementing data-driven solutions.

+ Proficiency in programming languages such as Python, R, or SQL.

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Experience with machine learning frameworks and libraries (e.g., Tensor Flow, PyTorch, scikit-learn).

+ Strong analytical and problem-solving skills.

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Experience with AI Native and cloud platforms (e.g., Open AI, Anthropic, AWS, Azure, Google Cloud).

+ Knowledge of big data…