S&C Global Network - AI - Software & Platform - Gen AI - Analyst
工作描述
Job Description
Entity: - Accenture Strategy & Consulting
Team: - Global Network - Data & AI
Practice: - CMT – Software & Platforms
Title: - 11 - Ind & Func AI Decision Science Analyst
Job location: - Across all S&C GN Locations
About S&C - Global Network: - Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition
About the Team: -
The team is focused on driving Data & AI based solutions for SaaS and PaaS clients for Accenture. The team collaborates actively with onsite counterparts to help identify opportunities for growth as well as drives client deliveries from offshore.
What’s in it for you?
- As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance.
- Accenture will continually invest in your learning and growth. You'll work with experts in SaaS & PaaS and Accenture will support you in growing your own tech stack and certifications.
- In Data & AI you will understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative.
职位要求
What you would do in this role
- Development and testing of AI algorithms and techniques, custom-tailored to effectively address and solve specific, complex business problems.
- Manage large databases proficiently, conducting exploratory data analytics to derive valuable insights for stakeholders.
- Track down and thoroughly investigate previous information related to a problem, asking probing questions to identify root causes.
- Employ a systematic approach to problem-solving, exploring known avenues and asking insightful questions to unravel the core issues.
- Work collaboratively with both internal teams and external consultants/managers to achieve project objectives.
- Develop and manage data pipelines to streamline the flow of information for enhanced efficiency.
- Demonstrate adaptability and flexibility in responding to changing project requirements.
- Proactively seek and embrace continuous learning opportunities to stay updated with the industry trends and advancement.
- Leverage the Microsoft ecosystem—Azure OpenAI, Azure AI Studio, Azure ML, Cognitive Search, and M365 Copilot extensibility—to build secure and scalable AI solutions.
- Design and implement GenAI and agentic AI systems, including RAG pipelines, autonomous agents, and LLM-driven workflows tailored to business needs.
Job Qualifications
Who are we looking for?
- Bachelor’s or master’s degree in computer science, engineering, data science, or a related field.
- Experience working for large Software or Platform organizations.
- Proven experience (2+ years) in working on AI projects and delivering successful outcomes.
- Leverage the Microsoft ecosystem—Azure OpenAI, Azure AI Studio, Azure ML, Cognitive Search, and M365 Copilot extensibility—to build secure and scalable AI solutions.
- Design and implement GenAI and agentic AI systems, including RAG pipelines, autonomous agents, and LLM-driven workflows tailored to business needs.
- Develop AI accelerators and POCs using Azure cloud-native architectures, ensuring performance, governance, and Responsible AI compliance.
- Stay current with advancements in LLMs, multimodal models, and Microsoft AI tooling, translating emerging capabilities into actionable business solutions.
- Hands on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modelling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization.
- Ability to work with large data sets and present findings / insights to key stakeholders; Data management using databases like SQL
- Proficiency in statistical packages such as R, Python, Java, SQL, Spark, etc.
- Knowledge in training large language models and fine-tuning for specific applications or domains.
- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models.
- Excellent analytical and problem-solving skills, with a data-driven mindset.
- Proficient in Excel, MS word, PowerPoint, etc.
