I&F Decision Sci Practitioner Specialist

Accenture; Mumbai; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

A leading global professional services firm in India is seeking a Data Science Practitioner to innovate using machine learning and advanced analytics. You will lead teams, work with large data sets, and develop statistical models to support data-driven decision-making. The candidate should have a Master's/PhD in relevant disciplines and extensive experience in various business domains. This role requires strong programming skills and the ability to deliver results independently.

Qualifications

• Extensive experience in leading Data Science delivery teams.
• Solid knowledge in various machine learning techniques.
• Experience in at least one business domain relevant to the role.

Responsibilities

• Build data science models for deeper insights and predictions.
• Utilize advanced statistical techniques for model development.
• Collaborate globally to deliver advanced AI solutions.

Skills

Data Science and Advanced Analytics delivery

Statistical programming in Python

AWS, SQL, PySpark

Supervised and Unsupervised Learning

Client engagement and business development

Quick Learner

Education

Masters / Ph.D. in Computer Science

Engineering

Statistics

Mathematics

Tools

AWS Sagemaker

Azure

GCP

Job description

About The Role

Delivery - Advanced Analytics

Designation: I&F Decision Sci Practitioner Specialist

Qualifications: Master of Engineering/Masters in Business Economics

Years of Experience: 7 to 11 years

What would you do?

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

What are we looking for?

• 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, Ensemble Modelling (random forest, boosted tree, etc)
• Experience in working with Pricing models is a plus
• Experience in atleast one of these business domains: Energy, CPG, Retail, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce, Health, 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.

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

Roles and Responsibilities

Building data science models to uncover deeper insights, predict future outcomes, and optimize business processes for clients. Utilizing advanced statistical and machine learning techniques to develop models that can assist in decision-making and strategic planning. Refining and improving data science models based on feedback, new data, and evolving business needs. 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 for 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.

Qualifications

Master of Engineering,Masters in Business Economics