S&C Global Network - AI - CG&S - Analyst
工作描述
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
职位要求
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.
