I&F Decision Sci Practitioner Specialist

Accenture in India; Gurugram District; On-site; INR 2,400,000 - 3,600,000; Full time

Job summary

Accenture in India is seeking a seasoned Data Analytics professional (I&F Decision Sci Practitioner Specialist) with 7 to 11 years of experience. You will partner with business stakeholders, build robust data models, and deploy analytical solutions using Python, PySpark, and Databricks.

Strong ML, statistics, and data storytelling are essential. Responsibilities include forecasting, clustering, and model validation, with impact across supply chain, sales, finance and marketing domains.

Qualifications

• 7 to 11 years of experience in data analytics or decision science.
• Graduation in Information Technology or equivalent.
• Strong programming and analytics skills in Python, Spark/Databricks, ML.

Responsibilities

• Partner with stakeholders to define challenges and data-driven solutions.
• Build and validate forecasting, classification, clustering and predictive models.
• Use Python, PySpark, and Databricks to process and model complex datasets.
• Translate model outputs into clear insights and actionable recommendations.
• Collaborate with analysts and engineers to deploy scalable analytical solutions.
• Stay updated with analytics techniques and industry practices.

Education

Any Graduation/Bachelors of Information Technology

Tools

Python

PySpark

Databricks

ML

Statistics

Deep Neural Networks

Clustering

Predictive Algorithms

Job description

Skill required: Delivery - Data Analytics

Designation: I&F Decision Sci Practitioner Specialist

Qualifications:Any Graduation/Bachelors of Information Technology

Years of Experience:7 to 11 years

About Accenture

Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 784,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com

What would you do?

Accenture is a global professional services company specializing in strategy, consulting, technology, operations, digital, cloud, and security services. With approximately 699,000 employees serving clients in 120+ countries, Accenture helps organizations drive innovation and create value through technology and human ingenuity. Visit us at www.accenture.com. The High-Touch Leadership Competencies provide the framework to build and grow the skills, knowledge, and behaviors in each employee to lead from every chair. Everyone is expected to lead in every position. All of the High-Touch Leadership Competencies are important to success. However, in each position there are three competencies that are imperative for job success. The Data Scientist collaborates with data analysts, data engineers, and business stakeholders to solve complex business problems using advanced analytics, machine learning, and statistics, translating insights into clear recommendations across supply chain, sales, finance, marketing, and communications.

What are we looking for?

• Python, PySpark, Databricks, ML, Statistics (Deep Neural Networks, Clustering Algorithms, Predictive Algorithms)
• Thinks Strategically: Takes a broad view of the business, industry, and consumer environment to anticipate and plan for the future. Identifies the focus and defines where to play, how to win and what capabilities and management systems are required.
• Embraces and Initiates Change: Distinguishes what to preserve and what to change. Has the courage to initiate and lead the changes that drive success. Roles and Responsibilities:
• Partner with stakeholders to define challenges, requirements, and data-driven solutions
• Build and validate models for forecasting, classification, clustering, pattern analysis, simulation, and prediction
• Use Python, PySpark, and Databricks to process and model complex datasets
• Apply statistics, deep neural networks, clustering, and predictive algorithms
• Evaluate data quality and improve collection, preparation, and processing
• Convert model outputs into clear insights, recommendations, and data stories
• Work with analysts and engineers to deploy scalable analytical solutions
• Advise stakeholders and recommend future data science technologies and capabilities
• Track model performance, document methods, and improve solutions
• Stay current with analytics techniques, tools, technologies, and industry practices