Entity: - Accenture Strategy & Consulting
Team: - Global Network – Data & AI
Practice: - Consumer Goods & Services
Title: - Industry & Function AI Decision Science Manager
Job location: - Gurugram, Bengaluru, Mumbai
About S&C - Global Network:
At Accenture Strategy & Consulting Global Network combines deep industry expertise, advanced analytics capabilities and human-led design methodologies that enable clients to act with speed and confidence.
A comprehensive hub of professionals dedicated to providing strategic advisory services and consulting expertise to clients worldwide. Leveraging deep industry expertise and a global presence, we work closely with clients to understand their unique challenges, develop innovative solutions, and drive measurable business outcomes. Our commitment to thought leadership, innovation, and client-centricity ensures that we deliver value-added services that help clients navigate complex business landscapes and achieve their strategic objectives. Through collaboration, knowledge sharing, and talent development initiatives, we empower our professionals to continuously innovate, grow, and deliver excellence to clients.
Consumer Goods & Services is one of the Industry Practices within Accenture’s S&C Global Network team. Globally, Consumer Goods & Services practice works to develop value growth strategies for its clients and infuse AI & GenAI to help deliver top their business imperatives i.e., revenue growth & cost reduction.
WHAT’S IN IT FOR YOU?
In today’s business environment, making quick and informed decisions is crucial to overcome complex challenges. Data has become a key enabler. That's why decision science combined with deep industry and functional expertise is key.
We use frameworks and models to gather valuable insights that guide our decision-making process. But it's not just about having the right tools; it's about bringing in the right skills and knowledge. AI/ML practitioners who have industry and function know-how can leverage effective decision-making techniques to ensure we're equipped to tackle different kinds of business needs.
The Decision Scientist builds AI solutions for industries and functions that can enable automated decisions as well as augment decision-making for business managers. These AI solutions can help reinvent an enterprise, offering significant time savings, productivity boosts, enhanced revenue and customer experience. The Decision Scientist has a big role in ensuring that AI drives sustainable value in today’s enterprises.
What you would do in this role
A CGS domain experienced and data science consultant is responsible to help the clients with designing & delivering AI solutions. He/she should be strong in Consumer Goods domain, AI fundamentals and should have good hands-on experience working with the following:
- Data Analysis & Presentation: Capable of analyzing extensive datasets and synthesizing insights for presentation to key decision-makers. Expert experience in working with Consumer Goods data sources, such as – Nielsen, IRI, EPOS, TPM, Financial / P & L, etc.
- AI & Analytics Expertise: Proficient in evaluating the AI and analytics maturity within the consumer goods sector, crafting data-driven solutions across various business domains.
- Value-Driven Solutions: Skilled in designing strategies that deliver enduring and substantial benefits to clients.
- Problem-Solving: Employs a structured methodology to dissect complex problems, foresee potential challenges, and delineate a project’s critical trajectory.
- Leadership & Mentorship: Guides the development and execution of data science initiatives, oversees project outcomes, nurtures team growth, and contributes to thought leadership.
- Client Engagement: Maintains a robust, cooperative relationship with clients, serving as the chief liaison and resolving any issues promptly.
- Innovative Solution Development: Spearheads the creation and deployment of bespoke advanced analytics solutions, utilizing Accenture’s cutting-edge platforms and tools for significant business impact.
- Technical Proficiency: Utilizes languages like Python, PySpark, R, SQL for data wrangling, analysis, and machine learning model creation, ensuring solutions are finely tuned to client requirements.
- Cloud Technology: Harnesses cloud services (Azure, GCP, AWS) for solution deployment.
- Narrative Skills: Transforms data into compelling narratives for stakeholder engagement.
- Continuous Learning: Actively seeks skill enhancement and certification in data science and machine learning.
- Collaborative Initiatives: Engages with internal teams to drive sales and foster innovation.
- Capability Building: Contributes to the advancement of key areas such as technology, new solutions, and the development of assets and accelerators.
Who are we looking for?
- Educational Background: Holds a bachelor’s or master’s degree in Statistics, Economics, Mathematics, Computer Science, or an MBA with a specialization in Data Science from a top-tier institution.
- Industry Experience & Acumen: Brings 7-9 years of direct data science experience, particularly within the Consumer Goods sector. Possesses a robust understanding of the consumer goods and services landscape, with the ability to integrate this knowledge with analytical solutions.
- Leadership & Client Interaction: Proven track record in client-facing roles and leading sizable project teams.
- Practical Problem-Solving: Demonstrated capability in addressing real-world issues using Data & AI.
- Analytics Expertise: Deep knowledge of a broad spectrum of analytics solutions (descriptive, diagnostic, predictive, prescriptive, generative) and experience in developing models through machine learning, deep learning and Gen AI technologies.
- Specialized Knowledge: Expert in analytical solutions specific to the consumer goods sector, such as Revenue Growth Management (RGM), Route-to-Market (RTM), Marketing Mix Modeling (MMM), Demand Forecasting, etc.
- Technical Skills: Advanced proficiency in programming languages like Python, R, PySpark, SQL, and platforms like Databricks for data analysis and model development.
- Analytical Techniques: Well-versed in both traditional statistical methods and modern machine learning techniques, including deep learning models.
- Traditional techniques like – Linear/logistic regression, multivariate statistical analysis, time series techniques, fixed/Random effect modelling.
- Machine learning techniques like - Random Forest, Gradient Boosting, XG boost, decision trees, clustering etc.
- Knowledge of Deep learning modeling techniques – like RNN, CNN etc.
- Optimization Knowledge: Familiarity with optimization methods
- Exact optimization – Linear, Non-linear optimization techniques
- Evolutionary optimization – Both population and search-based algorithms
- Tool Proficiency: Skilled in Microsoft Office Suite, with a preference for candidates familiar with visualization tools like Power BI and Tableau.
- Communication: Exceptional communication skills, adept at engaging with both technical and non-technical stakeholders.
- Detail-Oriented: Strong focus on problem-solving and meticulous attention to detail.
- Teamwork: A proactive team member who is solution-focused and capable of mentoring colleagues.
- Cloud Expertise: Experience with cloud services such as AWS, Azure, and Google Cloud.
- Certifications: Data Science certifications are desirable.
- LLM Knowledge: Experience with Large Language Models (LLMs) and tools like ChatGPT, Llama 2, Claude 2, Hugging Face is advantageous.
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.
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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