Accenture - AI Decision Science Manager (8-15 yrs)

Job description

Job Title : AI Decision Science Manager Strategy & Consulting Global Network

Management Level : 07 - Manager

Location : Primary - Bengaluru, Secondary - Gurugram

Must-Have Skills :

Python, R, SQL, Machine Learning, Deep Learning, Cloud Platforms (AWS, Azure, GCP), Big Data Tools (Hadoop, Spark), Data Visualization (Power BI, Tableau), Team Management, Stakeholder Engagement, Mentoring, Project Management.

Mandate Domain Exp : Retail /CGS & FMCG Industry exp atleast 3+yrs

Good-to-Have Skills :

Azure, AWS, GCP, Familiarity with advanced analytical techniques, including machine learning (e.g., Random Forest, Gradient Boosting) and deep learning (e.g., RNN, CNN), Experience with Large Language Models (LLMs) and tools like ChatGPT, Hugging Face.

Job Summary :

As an AI Decision Science Manager, you will leverage your expertise in AI, data science, and the Consumer Goods & Services domain to deliver innovative, data-driven solutions for Accenture's global clients. You will lead multi-disciplinary teams to design, develop, and implement AI strategies that drive measurable business outcomes, enhancing customer experience, revenue growth, and operational efficiency.

Roles & Responsibilities :

- Analyze extensive datasets from CG&S sources like Nielsen and IRI to synthesize actionable insights.

- Evaluate clients' AI and analytics maturity and develop data-driven solutions across various business domains.

- Lead the design and deployment of advanced analytics solutions using cutting-edge platforms and tools.

- Provide technical guidance on statistical and machine learning techniques.

- Collaborate with cross-functional teams to address CG&S pain points, including revenue growth management,

route-to-market strategies, and demand forecasting.

- Stay updated on the latest advancements in AI and integrate innovative approaches into solutions.

Professional & Technical Skills :

- Expertise in traditional statistical techniques (e.g., regression, time series) and machine learning methods (e.g., clustering, decision trees).

- Familiarity with optimization methods, including linear and evolutionary techniques.

- Strong communication skills for engaging both technical and non-technical stakeholders.

- Proven ability to lead client-facing roles and large project teams.

- Exceptional attention to detail and a proactive, problem-solving mindset.

Additional Information :

This role offers an opportunity to work in a dynamic and collaborative environment, driving innovation and delivering impactful results for global clients in the Consumer Goods & Services sector.

Job Qualifications :

Experience : 79 years of direct experience in Data Science and AI within the Consumer Goods & Services industry.

Educational Qualification : Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or an MBA specializing in Data Science.