S&C Global Network - AI - Resources - Manager Data Science

Accenture; Bengaluru; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

A leading consulting firm is seeking a Data Science Associate Director to leverage data analytics and AI for client engagements. This role demands strong leadership skills, advanced analytics model development, and collaboration with cross-functional teams. Ideal candidates should hold a degree in relevant fields and have over 15 years of data science experience focusing on cloud services and statistical modeling. Innovative thinking and expertise in tools like Python and SQL are essential. Strong communication skills are required to engage clients effectively.

Qualifications

• 15+ years of experience as a Data Science focusing on cloud services.
• Expert knowledge of experimental test design to inform business strategies.
• Relevant certifications in Azure Data Services or cloud data engineering are highly desirable.

Responsibilities

• Drive business growth and identify new opportunities.
• Design, build, and monitor advanced analytics models for clients.
• Collaborate with cross-functional teams to identify new use cases.

Skills

Excellent communication and interpersonal skills

Strategic mindset

Statistical Modeling

Machine Learning algorithms

Strong analytical and problem-solving skills

Understanding of programming languages

Education

Bachelor's/Master's degree in Mathematics, Statistics, Computer Science

Tools

Python

PySpark

SQL

Scala

Job description

About The Role

Entity

Accenture Strategy & Consulting

Team

Global Network Data & AI

Practice

Resources

Title

Data Science Associate Director

Job Location

Bangalore/Gurgaon/Mumbai

About S&C - Global Network

Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition

As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading AI/ML/Statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance.

What you would do in this role

• Excellent communication and interpersonal skills, with the ability to effectively engage with clients and stakeholders at all levels
• Strategic mindset, with the ability to drive business growth and identify new opportunities
• Responsible to solution architect, design, build, deploy, deliver, and monitor advanced analytics models for different client problems.
• Interface with clients/account team to understand engineering/business problems and translate it into analytics problems that shall deliver insights for action and operational improvements.
• Take initiatives and collaborate with different Accenture internal teams and support driving sales.
• Collaborate with different cross-functional teams, including technology, engineering, Strategy and account teams, to identify the new use cases.
• Provide innovation and thought leadership support to build key capability areas such as tools & technology, new solutions in supply chain planning and assets & accelerators development.
• Manage and mentor high-performing team of data analysts to work on large scale datasets, cloud platforms, IoT, and other similar large datasets.

Qualification

Who we are looking for?

Qualifications and Experience

• Bachelor's/Masters degree in Mathematics, Statistics, Computer Science, Computer Engineering, or related field
• 15+ year(s) experience as a Data Science with a focus on cloud services.
• Solid foundation of Statistical Modeling, Machine Learning algorithms and Experimental design.
• Expert knowledge of experimental test design and ability to inform business strategy based on statistical findings.
• Experience in Utilities, Energy, Chemical and Natural Resources experience is preferred.
• Understanding of programming languages such as Python, PySpark, SQL, or Scala.
• Implement MLOps practices to streamline the machine learning lifecycle, including model versioning, deployment, and monitoring.
• Solid understanding of data integration, data modeling, and data warehousing concepts.
• Strong analytical and problem-solving skills, with the ability to analyze complex data requirements and propose innovative solutions.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.
• Relevant certifications in Azure Data Services or cloud data engineering are highly desirable.