Job Type:
Full Time
Education: M. Tech, MCA, B.TECH, BE , B,Sc , BCA
Skills:
Python, Communication Skills, Power Bi, Numpy Pandas, Sql, machine learning, Data Analysis, Data Science, Artificial Intelligence
Job Details
Entity: Accenture Strategy & Consulting
Team: Global Network – Data & AI
Practice: Marketing Analytics
Location: Gurgaon / Bangalore / Mumbai / Hyderabad
About S&C Global Network - Data & AI
The Accenture Global Network - Data & AI practice helps clients grow their businesses in new ways by leveraging insights from data and Artificial Intelligence (AI). Accenture assists organizations in developing advanced analytic capabilities, from data access and reporting to predictive model deployment and Generative AI implementation.
What's in It for You?
- Join a global network of smart and driven colleagues leveraging cutting-edge AI technologies, including Generative AI.
- Provide analytically informed, issue-based insights at scale to help clients improve outcomes and achieve high performance.
- Access training and mentorship from seasoned professionals to expand your skill set and stay at the forefront of industry trends.
- Contribute to projects that directly improve business performance and utilize Generative AI to unlock new possibilities.
Responsibilities
- Innovative AI Solutions: Harness Generative AI and Large Language Models (LLMs) to build innovative solutions.
- Data Requirements: Define comprehensive data requirements for leveraging LLMs.
- Data Management: Lead data cleaning, aggregation, analysis, and interpretation; conduct data quality assessments.
- Data Pipelines: Build and manage data pipelines for efficient data flow and processing.
- Model Training: Train and fine-tune LLMs using large-scale datasets for optimized performance and accuracy.
- Model Evaluation: Conduct in-depth evaluations of model performance and iterate on improvements.
- Cross-Functional Collaboration: Integrate Generative AI and LLMs into end-to-end solutions, ensuring seamless deployment and scalability.
- Cloud Services: Utilize AWS, Azure, or GCP for model development, training, and deployment.
- Advancements in AI: Stay updated on the latest advancements in Generative AI and explore new techniques and frameworks.
- Documentation: Document methodologies, experiments, and findings for knowledge sharing.
- Stakeholder Collaboration: Collaborate with internal and external stakeholders to align project objectives and deliverables.
- Presentation: Create insights presentations and client-ready decks to communicate findings and recommendations.
- Mentorship: Mentor and guide junior resources, fostering a collaborative and growth-oriented team environment.
- Communication: Demonstrate strong verbal and written communication skills to convey complex concepts and insights to stakeholders.
Qualifications
- Education: Bachelor's or Master's degree in Statistics, Computer Science, Mathematics, Marketing, or related disciplines with an excellent academic record.
- Experience: 4+ years of progressive experience in Data Science, preferably within the Marketing domain.
- Technical Skills:
- Expert level proficiency in Python and SQL.
- Proven experience implementing Generative AI use cases with hands-on experience in working with multiple LLMs in real-world applications.
- Experience with cloud platforms (AWS, Azure, GCP) for data storage, processing, and model deployment.
- Soft Skills:
- Outstanding communication and collaboration skills for engaging with diverse stakeholders.
- Ability to think critically, solve problems creatively, and translate complex technical concepts into clear language.
- Strong desire to learn and stay updated on advancements in Generative AI and Marketing Analytics.
Equal Opportunity
Accenture is an equal opportunities employer. Applications from all sections of society are welcomed, and Accenture does not discriminate on the grounds of race, religion, 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.
