Senior Data Scientist

We Are:Accenture’s Global Responsible AI team within the Global Data & AI Practice. AI is becoming more pervasive, more powerful and more accessible. With these new opportunities come increased risks. We work with leading organizations to ensure AI is designed, built and deployed in a manner that engenders trust and adheres to laws, regulations and ethical norms. Our Responsible AI strategy will enable us to embed responsibility into all of Accenture’s data and AI activities. We’re developing and deploying differentiated IP and Responsible AI solutions with our ecosystem partners. We’ll be engaging regulators to help shape the policy agenda, conducting pioneering research with academia and offer training and resources to our clients through the Responsible AI Academy. The risks of AI are real and well- known . Let’s help our clients turn those risks into opportunities.You are:We are seeking an experienced to design, develop, operationalize, and govern enterprise-scale artificial intelligence solutions.You will bring broad expertise across advanced analytics, statistical modelling, machine learning, deep learning, natural language processing, computer vision, generative AI, and agentic AI, combined with a strong understanding of Responsible AI, AI governance, policy, standards, regulation, and risk management.You will work with clients to translate emerging AI technologies, regulatory requirements, and Responsible AI principles into practical business outcomes. This includes helping organizations establish and implement AI principles, policies, governance structures, operating models, risk-management frameworks, controls, assurance mechanisms, and technology-enabled Responsible Senior Data Scientist AI capabilities.The ideal candidate combines technical depth, business acumen, consulting experience, experimentation discipline, regulatory awareness, and strong stakeholder leadership. You will be comfortable moving between hands-on technical problem solving, executive-level advisory, client delivery, business development, and thought leadership.You will work across industries and functional areas, helping clients take AI initiatives from strategy and discovery through experimentation, engineering, deployment, governance, monitoring, and continuous improvement. You will also contribute to Accenture’s perspectives on emerging AI technologies, governance practices, standards, policy, and regulation.The work:Partner with business, product, data, engineering, architecture, cybersecurity, legal, privacy, risk, compliance, and operations teams to identify, assess, and prioritize high-value AI opportunities.Translate complex business challenges into clearly defined analytics, machine learning, generative AI, agentic AI, and decision-science problem statements.Perform exploratory data analysis, statistical analysis, hypothesis testing, experimental design, feature engineering, predictive modelling, and optimization.Develop supervised and unsupervised machine learning solutions, including classification, regression, clustering, forecasting, recommendation, anomaly detection, optimization, and related techniques.Design and implement deep-learning solutions using neural networks, transformers, convolutional architectures, sequence models, representation-learning techniques, and multimodal approaches.Build natural language processing and computer vision solutions for document intelligence, information extraction, semantic search, knowledge discovery, image analysis, and multimodal understanding.Develop generative AI applications using large language models and foundation models, including prompt engineering, embeddings, vector search, retrieval-augmented generation, fine-tuning, model adaptation, guardrails, and evaluation.Design agentic AI solutions that combine reasoning, planning, memory, tools, workflows, human oversight, and single- or multi-agent orchestration to execute complex business processes.Evaluate commercial, open-source, and internally developed AI models and platforms based on performance, accuracy, robustness, cost, latency, scalability, security, privacy, explainability, maintainability, and operational fit.Design experimentation frameworks, evaluation methodologies, benchmarks, test datasets, acceptance criteria, and performance metrics for traditional, generative, and agentic AI systems.Collaborate with data engineers, software engineers, machine learning engineers, architects, cybersecurity specialists, and platform teams to operationalize scalable AI solutions using MLOps, GenAIOps, and LLMOps practices.Establish monitoring and observability for model performance, drift, bias, fairness, hallucination, toxicity, safety, latency, cost, resilience, and overall system reliability.Assess AI use cases and systems for risk across areas including fairness, transparency, explainability, privacy, security, robustness, human oversight, accountability, and regulatory compliance.Design and implement Responsible AI operating models, governance structures, policies, standards, controls, risk-assessment methodologies, assurance processes, and supporting technology capabilities.Advise clients on the implications of emerging AI legislation, regulation, standards, regulatory guidance, and industry practices.Maintain awareness of major developments in AI policy, regulation, technical standards, assurance, and governance and translate these developments into actionable guidance for clients.Support organizations in establishing AI inventories, classification and risk-tiering approaches, governance workflows, control libraries, documentation standards, testing frameworks, and ongoing monitoring.Act as a subject matter expert in Responsible AI within broader data, AI, cloud, digital, and enterprise-transformation programs.Shape and lead Responsible AI and AI-governance engagements, from initial assessment and strategy through design, implementation, operationalization, and continuous improvement.Engage with prospective clients to identify opportunities, shape solutions, develop proposals, and support sales conversations related to AI, Generative AI, Agentic AI, and Responsible AI.Lead client workstreams and multidisciplinary delivery teams, managing scope, outcomes, risks, dependencies, stakeholders, and delivery quality.Communicate analytical findings, AI-system behavior, limitations, risks, trade-offs, and business implications to both technical and non-technical stakeholders.Provide guidance to senior Accenture leaders and client executives on AI strategy, adoption, governance, risk, regulation, and emerging technology.Engage with relevant industry, policy, standards, regulatory, academic, and ecosystem stakeholders where appropriate.Develop and present Accenture perspectives, methodologies, accelerators, research, and thought leadership on AI and Responsible AI.Mentor data scientists and other practitioners and contribute to reusable frameworks, standards, assets, accelerators, and communities of practice.Support clients with AI strategy, capability development, technology selection, organizational change, workforce adoption, and responsible scaling of AI.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:A minimum of 6 years of relevant professional experience across data science, artificial intelligence, advanced analytics, Responsible AI, technology consulting, AI governance, or related disciplines.You should have:A Bachelor’s or Master’s degree in data science, statistics, mathematics, computer science, engineering, economics, operations research, or another quantitative or technical discipline.Significant experience applying data science, machine learning, advanced analytics, or artificial intelligence to real-world business problems.Strong understanding of probability, statistics, experimental design, optimization, machine learning theory, and quantitative problem solving.Proficiency in Python and commonly used data science and machine learning libraries such as pandas, NumPy, scikit-learn, PyTorch, TensorFlow, XGBoost, or equivalent technologies.Experience designing, developing, validating, deploying, and monitoring machine learning models in production environments.Practical experience with generative AI, including large language models, foundation models, prompt engineering, embeddings, semantic search, retrieval-augmented generation, and model evaluation.Experience working with structured, semi-structured, and unstructured data, including textual, image, multimodal, transactional, or time-series datasets.Strong SQL skills and experience working with modern data platforms, distributed-processing technologies, cloud platforms, and enterprise data environments.Understanding of software engineering practices including APIs, version control, automated testing, containerization, continuous integration, continuous deployment, and production observability.Experience with AI governance, Responsible AI, model risk, data ethics, privacy, security, compliance, or related risk-management disciplines.Working knowledge of AI-related policy, standards, regulation, regulatory guidance, or assurance approaches.Experience translating regulatory, ethical, policy, or risk requirements into practical governance processes, operating models, controls, and technology requirements.Strong client-facing consulting skills, including structured problem solving, executive communication, stakeholder management, workshop facilitation, and storytelling.Experience shaping and delivering complex projects or workstreams involving multidisciplinary teams.Strong written and verbal communication skills, including the ability to explain complex technical, regulatory, and risk topics to senior stakeholders.In addition, you should bring meaningful experience in one or more of the following environments:Management or technology consulting involving AI, data, Responsible AI, governance, risk, or regulatory transformation.Government, legislative bodies, regulators, standards-development organizations, policy institutions, or multilateral organizations.Corporate Responsible AI, AI governance, model risk, compliance, legal, privacy, technology-risk, or AI assurance teams.Designing and implementing governance operating models, organizational structures, policies, standards, processes, risk frameworks, and controls.Academic or applied research focused on Responsible AI, AI governance, AI ethics, AI safety, AI policy, or related disciplines, with demonstrated practical application.Priority skills/knowledge:Responsible AI and AI governanceAI regulation, policy, standards, and complianceGenerative AI and Agentic AIData and AI ethicsAI risk assessment and assuranceAI governance operating modelsGovernance structures, policies, standards, and controlsModel and AI-system evaluationStakeholder and executive managementManagement consultingProject and workstream leadershipTechnology strategy and transformationBonus points if you have:A doctorate in a quantitative, technical, or closely related discipline.Experience designing or deploying agentic AI systems, including tool-using models, orchestration frameworks, workflow automation, reasoning systems, or multi-agent architectures.Experience with knowledge graphs, graph analytics, causal inference, reinforcement learning, simulation, operations research, or mathematical optimization.Familiarity with vector databases, model gateways, model registries, feature stores, evaluation platforms, AI observability tools, and AI-control technologies.Experience with major cloud and AI platforms such as AWS, Microsoft Azure, or Google Cloud.Deep knowledge of AI governance, data privacy, cybersecurity, model risk management, algorithmic accountability, or emerging AI regulation and standards.Experience developing AI risk-taxonomy, AI inventory, impact-assessment, control-testing, assurance, or monitoring frameworks.Experience leading multidisciplinary teams or delivering enterprise-wide AI, data, governance, risk, or technology-transformation programs.Published academic research, industry papers, white papers, standards contributions, patents, or other recognized thought leadership in Responsible AI, AI governance, AI policy, AI ethics, or related fields.Experience engaging with regulators, standards bodies, policymakers, industry associations, or academic institutions.Ability to independently lead complex client workstreams from problem definition through implementation.Experience managing resources and stakeholders within a matrixed global organization.Success in this role will be measured by:Business value generated by AI and data-science solutions.Quality, accuracy, reliability, robustness, adoption, and production performance of deployed AI systems.Effective identification and mitigation of AI-related risks.Compliance with applicable Responsible AI policies, governance requirements, standards, and regulatory obligations.Successful implementation and adoption of AI-governance operating models, processes, controls, and assurance mechanisms.Reduction in operational cost, cycle time, risk exposure, or manual effort.Improvement in customer, employee, citizen, or broader business outcomes.Scalability and reusability of AI architectures, methodologies, governance frameworks, and accelerators.Successful delivery of client engagements and workstreams against agreed outcomes.Contribution to client relationships, proposals, business development, and market-facing thought leadership.Ability to influence senior client and Accenture stakeholders on AI strategy, Responsible AI, risk, and governance.Development, mentoring, and growth of data science and AI talent.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 09/30/2026.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 | AccentureRole Location Annual Salary RangeCalifornia $94,400 to $293,800Cleveland $87,400 to $235,000Colorado $94,400 to $253,800District of Columbia $100,500 to $270,300Illinois $87,400 to $253,800Maine $80,400 to $216,200Maryland $94,400 to $253,800Massachusetts $94,400 to $270,300Minnesota $94,400 to $253,800New York $87,400 to $293,800New Jersey $100,500 to $293,800Virginia $87,400 to $270,300Washington $100,500 to $270,300About AccentureAccenture 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.Visit us at What We BelieveWe 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 hereRequesting An AccommodationAccenture 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 such as for a disability or religious observance, please call us toll free at View phone number on click.appcast.io or send us an email or speak with your recruiter.Equal Employment Opportunity StatementWe believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.For details, view a copy of the  Accenture Equal Opportunity StatementAccenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.Accenture is committed to providing veteran employment opportunities to our service men and women.Other Employment StatementsApplicants 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. Further, at Accenture a criminal conviction history is not an absolute bar to employment. 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.California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.SummaryLocation: New York, One Manhattan West, Corp; Milwaukee, 790 N Milwaukee St, Corp; Dallas, 5205 N OConnor Las Colinas, Corp; Columbus, 400 W. Nationwide Blvd, Corp; Kirkland, 416 6th Street South, Corp; Cincinnati, 4th Street, Corp; Cleveland, 1400 W 10th Street, Corp; Oklahoma City, 525 NW 11th St, Corp; Austin, 323 Congress Avenue, Corp; Albany, 69 State St, Corp; Chicago, Accenture Tower, Corp; St. Pete, 140 Fountain Pkwy, Tampa Corp; Hartford, 280 Trumbull, Corp; Pittsburgh, 1001 Liberty Ave, Corp; St. Louis, 4220 Duncan Avenue, Corp; Miami, 777 Brickell Ave, Corp; Sacramento, 1610 R Street, Corp; Raleigh, 555 Fayetteville, Corp; Minneapolis, 333 S 7th, Corp; Mountain View, 650 Castro, Corp; Scottsdale, 15279 N Scottsdale Rd, Corp; San Francisco, 415 Mission Street, Corp; Morristown, 1 Speedwell Ave, Corp; Denver, 999 18th St, Corp; Boston, 888 Boylston, Corp; Philadelphia, 2001 Market St, Corp; Des Moines, 909 Locust, Corp; Overland Park, 7300 W 110th Street, Corp; Los Angeles, 6181 W Centinela Ave, Corp; Charlotte, 1120 S Tryon St., Corp; Walnut Creek, 1255 Treat Blvd, Corp; Carmel, 11939 N Meridian St., Corp; Seattle, 1191 2nd Avenue, Corp; Houston, 1301 Fannin, Corp; Arlington, 1201 Wilson, Corp; Atlanta, 75 Fifth, Corp; Redmond, 8383 158th Avenue NE, Corp; Bentonville, 805 S Walton Blvd., Corp; Beaverton, 15220 NW Greenbrier, Corp; Nashville, 4101 Charlotte Ave., Corp; Detroit, 1240 Woodward, Corp; San Diego, 12680 High Bluff Dr, CorpType: Full time