Job Title: Industry & Function AI Decision Science Analyst – S&C Global Network Management Level: 11- Analyst Location: Primary - Bengaluru, Secondary - Gurugram
Must-Have Skills: Data Science, AI, ML, Experience with cloud platforms such as AWS, Azure, or Google Cloud, Hands-on experience in programming languages like Python, R, PySpark, and SQL
Good-to-Have Skills: Deep Learning Techniques (e.g. RNN, CNN), Visualization tools like Power BI and Tableau, Exposure to tools like ChatGPT, Llama 2, Hugging Face, etc.
Job Summary:
As an Industry & Function AI Decision Science Consultant, you will leverage your expertise in data science and Consumer Goods domain knowledge to design and deliver AI-driven solutions. Your role will include strategic analysis, project delivery, solution development, and technical execution to empower businesses with actionable insights and enable automated and augmented decision-making.
Roles & Responsibilities:
- Conduct strategic analysis of the AI, analytics, and data maturity landscape for clients in the Consumer Goods domain
- Lead data science engagements, manage delivery teams, and build innovative AI capabilities
- Develop and implement advanced analytics solutions tailored to client requirements
- Utilize languages like Python, PySpark, R, and SQL for data wrangling and machine learning model development
- Leverage cloud technologies (Azure, AWS, GCP) to integrate and implement AI solutions
- Translate complex data into compelling narratives for effective data storytelling
- Mentor junior team members and contribute to thought leadership
Professional & Technical Skills:
- Proficiency in Python, R, PySpark, and SQL
- Strong knowledge of traditional statistical methods, machine learning techniques, and deep learning
- Hands-on experience in Consumer Goods & Services domain
- Cloud integration skills with platforms like AWS, Azure, or Google Cloud
- Experience with optimization techniques (exact and evolutionary)
- Certifications like AWS Certified Data Analytics Specialty or Google Professional Data Engineer
- Familiarity with visualization tools like Tableau and Power BI
- Exposure to large language models (e.g., ChatGPT, Llama 2)
- Familiarity with version control systems like Git.
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 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 www.accenture.com
Equal Employment Opportunity Statement
We 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.
Seen 21 days ago.
Original posting on Logic, Part of Accenture's site ↗
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