ACN – Applied Intelligence – CC – Data Science (IN) – 10

From 3 to 4 year(s) of experience
₹ Not Disclosed by Recruiter

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Posted: 52 days agoJob Applicants: 31Job Views: 258

Job Description

As part of our Analytics practice, you will join a worldwide network of over 20,000 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.

Senior Analyst in Applied Intelligence

A Senior Analyst in ‘Applied intelligence –understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative.
Duties and Responsibilities:
• Design, analyze and develop ML models to solve various business problems in retail, consumer goods, manufacturing, or other domains
• Create production ready code by following coding standards, code generalization and best development practices. Imbibe the culture of code discipline in the team
• Convert business requirements into analytical specifications
• Play a senior role in the project. Mentor and review work of junior colleagues in the project
• Take ownership of intermediate results and final output and work towards quality and timeliness in delivery
• Work with project lead to create client and internal presentations


Educational Background/qualifications B Tech/M Tech from reputed engineering colleges Masters/M Tech in Computer Science Master degree in Statistics/Econometrics/ Economics from reputed institute M.Phil/Ph.D in Statistics/Econometrics or related field.
Requirements: 3-4 years of experience in Machine Learning (ML) techniques like Decision Trees, Gradient Boosting, Random Forest
o Expertise in data modeling developed through client projects
o Extensive use of data-driven techniques including exploratory data analysis and data pre-processing to solve business problems Proficient in using Python programming for data manipulation, data visualization, and machine learning models with good hands-on experience in using libraries like Numpy, Pandas, Matplotlib, and Scikit-learn Proficiency in SQL for data preparation, manipulation, and descriptive analysis Good understanding of statistical tests and distribution Experience in writing modular code using Python programming with hands-on experience in using version control tools like Git Proficient in data handling suites PYTHON, Spark, SQL
Good to have- Exposure to and understanding of cloud platforms like GCP, Azure, AWS Good knowledge & working on Visualization tools like Tableau, POWER BI, etc Soft Skills Strong problem soling skills Good team player Attention to details

Role:Data Scientist

Salary: Not Disclosed by Recruiter

Industry:IT Services & Consulting

Functional Area:Data Science & Analytics

Role Category:Data Science & Machine Learning

Employment Type:Full Time, Permanent


UG:B.Tech/B.E. in Any Specialization

PG:M.A in Economics, Statistics,M.Tech in Computers,MCA in Computers,MS/M.Sc(Science) in Computers, Statistics,MCM in Computers and Management

Doctorate:MPHIL in Statistics, Economics,Ph.D/Doctorate in Statistics, Economics

Company Profile


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, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 514,000 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.
Company Info
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Contact Company:Accenture

Address:Plant 3,Godrej and Boyce Compound, MUMBAI, Maharashtra, India

Reference Id:57126

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