Associate Manager - Data Science (10-14 yrs)

Associate Manager - Data Science

You will be a core member of Accenture Operations Global Data and AI group, an energetic, strategic, high-visibility, and high-impact team, to innovate and transform the Accenture Operations business using machine learning, and advanced analytics to support data-driven decisioning.

Responsibilities:

- Leading team of data scientists to build and deploy data science models to uncover deeper insights, predict future outcomes, and optimize business processes for clients.

- Refining and improving data science models based on feedback, new data, and evolving business needs.

- Analyse available data to identify opportunities for enhancing brand equity, improving retail margins, achieving profitable growth, and expanding market share for clients.

- Data Scientists in Operations follow multiple approaches for project execution from adapting existing assets to Operations use cases, exploring third-party and open-source solutions for speed to execution and specific use cases to engaging in fundamental research to develop novel solutions.

- Data Scientists are expected to collaborate with other data scientists, subject matter experts, sales, and delivery teams from Accenture locations around the globe to deliver strategic advanced machine learning / data-AI solutions from design to deployment.

Requirements:

- Skill required: Delivery - Advanced Analytics.

- Qualifications: Master of Engineering/Masters in Business Economics.

- Years of Experience: 10 to 14 years.

- Extensive experience in leading Data Science and Advanced Analytics delivery teams.

- Strong statistical programming experience - Python or working knowledge on cloud-native platforms like AWS Sagemaker is preferred Azure/ GCP.

- Experience working with large data sets and big data tools like AWS, SQL, PySpark, etc.

- Solid knowledge in at least more than two of the following - Supervised and Unsupervised Learning, Classification, Regression, Clustering, Neural Networks, and Ensemble Modelling (random forest, boosted tree, etc).

- Experience in working with Pricing models is a plus.

- Experience in at least one of these business domains: Energy, CPG, Retail, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce, Health, and Supply Chain.

- Extensive experience in client engagement and business development.

- Ability to work in a global collaborative team environment.

- Quick Learner and Independently deliver results.

- Masters / Ph. D. Computer science, Engineering, Statistics, Mathematics, Economics, or related disciplines.