S&C Global Network - AI - CG&S ML Engineer Analyst

Entity:- Accenture Strategy Consulting

Team:- Global Network Data AI

Practice:- Consumer Goods and Services

Role:- ML Engineer Consultant/Analyst

Job location:- Bengaluru, Gurugram, Pune, Hyderabad

About

SC - Global Network:- At Accenture Strategy Consulting Global Network we aim at deep industry expertise, advanced analytics capabilities and human-led design methodologies that enable clients to act with speed and confidence. We thrive by integrating human ingenuity with intelligent technology to address businesses' most complex problems. With a team of 3,000+ Data Scientists, we leverage robotic process automation, content analytics, predictive analytic models, and cognitive services to help clients drive their growth and transformation agenda.

We are looking for a highly motivated and passionate Industry experts to join Accenture's Global Strategy Consulting Network. The vision SCG is to offer tailored solutions to meet the diverse needs of clients across various industries. 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.

WHAT'S IN IT FOR YOU

Accenture will continually invest in your learning and growth. Youll work with Accenture's certified Data AI practitioners, and Accenture will support you in growing your own tech stack and certifications.

You'll be part of a diverse, vibrant, global Accenture Data AI community, continually pushing the boundaries of business capabilities .

What you would do in this role

We are seeking a skilled and experienced MLE Consultant to join our team. The ideal candidate should have a strong background in working different cloud environments(GCP, Azure or AWS), CI\CD WoW, Migration process, MLOps, LLMOps and Data Engineering.

Role:ML Engineer Consultant

Responsibilities:

Collaborate closely with clients and stakeholders in the CGS domain to grasp business requirements and user needs, translating them into effective machine learning solutions.

Provide expert consultation and guidance to internal stakeholders on best practices in machine learning, utilizing Azure Services, Data Science methodologies, Python programming, DevOps/GitHub integration, and data assessment techniques.

Lead the development and implementation of data pipelines tailored to various sources, including Nielsen, Kantar, IRI, EPOS, public data, E-Comm, and Brand Health data, ensuring cloud-agnostic compatibility across AWS, Azure, and GCP.

Utilize advanced modelling techniques and feature synthesis methodologies to extract actionable insights from diverse datasets.

Conduct comprehensive data quality checks and implement measures for continuous improvement.

Drive the creation of analytical models, leveraging techniques such as LLM (Large Language Models) and Generative AI, to address complex business challenges.

Manage end-to-end project lifecycles, from initial scoping to deployment and maintenance, ensuring adherence to timelines and budget constraints.

Stay updated on emerging trends and advancements in machine learning, contributing insights and recommendations to the team and wider organization.

Collaborate effectively with data scientists, analysts, and engineers to seamlessly integrate machine learning models into data-driven applications and products.

Contribute to thought leadership initiatives by sharing expertise through mediums such as blog posts, whitepapers, and presentations, fostering knowledge sharing within the organisation.

Qualifications

Who we are looking for

Who We Are Looking For:

Minimum of 3 to 7 years of experience in machine learning engineering, data science, or related roles, demonstrating a robust track record of successful projects and achievements.

The candidate should be experienced in dealing with CGS data (Nielsen, EPOS, IRI, Kantar, Euromonitor, Manufacturer or retailer PL - financials, SAP, Sales operations, Demographics, Trade promotion planner etc.) functions (such as Customer Experience, Marketing and Promotions, Store Planning, Supply Chain and Logistics, and trade promotions, salesforce etc.) driven through AI.

Proficiency in utilizing Azure Services, Python programming, and DevOps/GitHub for developing and deploying machine learning solutions.

Strong expertise in data assessment, modelling, data feature synthesis, and conducting data quality checks to ensure accuracy and reliability.

Proven experience in analytical model creation, leveraging techniques such as LLM (Large Language Models) and Generative AI to derive actionable insights.

Demonstrated capability in project management, overseeing end-to-end project lifecycles from inception to deployment.

Substantial knowledge and experience in cloud agnostic environments, including AWS, Azure, and GCP, with a focus on building robust data pipelines for diverse datasets, including Nielsen, Kantar, IRI, EPOS, public data, E-Comm, and Brand Health data.

Excellent communication and collaboration skills, with the ability to effectively convey complex concepts and findings to diverse stakeholders.

Experience working in agile environments and collaborating closely with cross-functional teams to deliver impactful solutions.

A background in statistics, mathematics, or related quantitative fields is preferred, with additional qualifications such as an MBA from a premier business school considered a plus.

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.