Entity: - Accenture Strategy & Consulting

Team: - Global Network – Data & AI

Practice: - Marketing Analytics  

Title: - Ind & Func AI Decision Science Analyst – Level 11

Job location: - Gurgaon / Bangalore / Mumbai / Hyderabad

About S&C Global Network - Data & AI: -

Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. We enable our clients to achieve high performance through insights from data - insights that inform better decisions and help grow their business in entirely new ways through the power of Artificial Intelligence. From strategy to execution, Accenture works with organizations to develop advanced analytic capabilities. This includes everything from accessing and reporting on data to building and deploying predictive models and implementing Generative AI solutions.

WHAT’S IN IT FOR YOU?

• As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues who are pioneers in leveraging cutting-edge AI technologies, including Generative AI. 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 is committed to nurturing your growth and development. You'll have access to training and mentorship from seasoned professionals, empowering you to expand your skill set and stay at the forefront of industry trends.
• In S&C GN - Data & AI you will understand the importance of sound analytical decision-making, how each task contributes to the overall project objectives, execute projects that contribute directly to business performance improvement and utilize Generative AI to unlock new possibilities.

What you would do in this role:

• Harness the capabilities of Generative AI and Large Language Models (LLMs), to build innovative solutions.
  • Define data requirements for leveraging Large Language Models (LLMs)
  • Perform data cleaning, aggregation, analysis, and interpretation, while conducting thorough data quality assessments.
  • Build and manage data pipelines, ensuring efficient data flow and processing.
  • Train and fine-tune LLMs using large-scale datasets to optimize performance and accuracy.
  • Evaluate model performance and iterate on improvements.
  • Collaborate with cross-functional teams to integrate Generative AI and LLMs into end-to-end solutions, ensuring seamless deployment and scalability.
  • Utilize cloud services from AWS, Azure, or GCP for development, training, and deployment of models.
  • Stay updated on the latest advancements in Generative AI and explore new techniques and frameworks to enhance model capabilities and performance.
  • Document methodologies, experiments, and findings to facilitate knowledge sharing.
• Collaborate closely with the team, consultants, and managers to align project objectives and deliverables.
• Create insights presentations and client-ready decks, effectively communicating findings and recommendations.
• Mentor and guide junior resources, fostering a collaborative and growth-oriented team environment.
• Demonstrate strong communication skills, both verbal and written, to effectively convey complex concepts and insights to stakeholders.

Who we are looking for:

• Bachelor's or Master's degree in Statistics, Computer Science, Mathematics, Marketing or related disciplines with an excellent academic record
• 2+ years of experience in Data Science, preferably within the Marketing domain.
• Proficiency in Python and SQL.
• Proven experience in implementing Generative AI use cases.
• Hands-on experience working with at least one prominent Large Language Model (LLM).
• Familiarity with at least one cloud platform (AWS, Azure, GCP) for data storage, processing, and model deployment.
• Excellent communication and collaboration skills.
• Ability to think critically, solve problems creatively, and translate complex technical concepts into clear and concise language for both technical and non-technical audiences.
• Strong desire to learn and stay up to date on the latest advancements in Generative AI and Marketing Analytics.

Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

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 750,000 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. We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song. These capabilities, 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 www.accenture.com

Equal Employment Opportunity Statement

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.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

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