We Are
Accenture is at the forefront of innovation, helping companies harness the power Generative AI, Large Language Models (LLMs), and agentic applications to transform their businesses. Our flagship platform, AI RefineryTM, empowers enterprises to optimize operations, drive innovation, and unlock new opportunities. With over 1,600 professionals dedicated to generative AI, leveraging the depth and experience of more than 40,000 AI and data professionals across the company our Generative AI and LLM Center of Excellence (http://www.accenture.com/us-en/services/applied-intelligence/generative-ai?c=acn\glb\largelanguagemonewsroom\13451725&n=mrl\0323) brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.
You Are
As an experienced and dynamic data scientist, you will develop innovative approaches to extract meaning and value from large and complex datasets by leveraging state-of-the-art LLMs and GenAI techniques. Collaborating across the data science lifecycle, you will design and implement both qualitative and quantitative methods to prepare, enrich, and optimize data for advanced analytical and agentic workflows. Your role will involve scripting and programming to aggregate, embed, and index data from diverse sources, transforming it into actionable intelligence aligned with customer requirements. Additionally, you will evaluate, document, and communicate your research processes, methodologies, and results with peers, stakeholders, and leadership to drive transparency, reproducibility, and innovation.
The Work
As a data scientist for our AI RefineryTM platform at Accenture, you will:
Data Preparation & Management:
Work with structured, semi-structured and unstructured data across domains such as customer operations, finance, life science and telecommunications.
Build scalable data pipelines and perform advanced preprocessing to prepare datasets for fine-tuning large language models (LLMs) and prompt-based generative AI tasks.
Design semantic layers, taxonomies, and domain-specific ontologies to enable @contextual reasoning and knowledge representation for LLM-driven applications.
LLM & Agent Collaboration:
Prepare and structure training/evaluation data for prompt engineering, RAG, and fine-tuning.
Align datasets with downstream use cases such as customer journey analysis, marketing trends, and intelligent task scheduling.
Work closely with cross-functional teams, including, research engineers, developers to pass processed data into vector databases or knowledge graphs.
Cloud & Data Lake Integration:
Access, extract, and preprocess data from cloud data lakes and warehouses (GCP Azure AWS).
Ensure secure, scalable, and governed access to enterprise data sources used by LLM-based agents.
Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.
Here's What You Need
Minimum of 3 years of experience in data science or ML-focused data engineering roles & Proficiency in SQL and Python with deep experience in scalable data processing using PySpark, Kafka.
Minimum of 3 years of experience working with complex and messy enterprise datasets (logs, reports, transcripts, complaints).
Minimum of 3 year of exposure to LLMs or generative AI workflows-either prompt design or retrieval-based querying.
Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years' work experience)
Bonus points if you have:
Advanced degrees or relevant certifications are advantageous.
Professional Skills Requirements:
Advanced degree in Data Science, Computer Science, Mathematics, or a related field.
Hands-on experience with generative AI, fine-tuning large language models.
Proficiency in prompt engineering and designing RAG pipelines.
Familiarity with embedding generation and vector indexing and sematic retrieval using tools like LlamaIndex, FAISS, Pinecone, Weaviate.
Familiarity with graph databases or knowledge graph construction.
Experience designing semantic layers or data products for AI systems.
Background in deploying analytics for operational use cases like SLA monitoring, installation delays, or field work optimization.
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 in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New Jersey, New York or Washington as set forth below.We accept applications on an on-going basis and there is no fixed deadline to apply.
Information on benefits is here. (https://www.accenture.com/us-en/careers/local/total-rewards)
Role Location Annual Salary Range
California $73,800 to $220,400
Colorado $73,800 to $190,400
District of Columbia $78,500 to $202,700
Illinois $68,300 to $190,400
Minnesota $73,800 to $190,400
Maryland $73,800 to $190,400
New York/New Jersey $68,300 to $220,400
Washington $78,500 to $202,700
What We Believe
We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.
Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here (https://www.accenture.com/us-en/about/inclusion-diversity/us-workforce)
Equal Employment Opportunity Statement
Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation.
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Accenture is committed to providing veteran employment opportunities to our service men and women.
For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement (https://www.accenture.com/content/dam/accenture/final/accenture-com/document/Annual-Policy-Statement-Regarding-EEO-2023-Applicant.pdf#zoom=50) .
Requesting An Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email (https://www.accenture.com/us-en/about/contact-us) or speak with your recruiter.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
