Senior Data Scientist — Enterprise Analytics & ML

Accenture PLC; Carmel (IN); On-site; USD 97,000 - 111,000; Full time

Job summary

Accenture Flex invites a Data Scientist to apply advanced statistical and machine learning methods to large datasets across the enterprise. You will contribute to data-driven insights, influence decision-making, and collaborate with cross-functional teams to deliver scalable analytics solutions.

The role is 100% onsite at a client location in Minneapolis, MN, with a strong emphasis on turning data into practical business outcomes and driving enhancements to customer experiences and operations.

Qualifications

• Minimum 5 years in data science, data analysis, data mining, or similar business functions.
• Minimum 5 years in at least one focus area: statistics, operations research, design/analysis of experiments, ML, or quantitative analysis.
• Minimum 5 years of data mining with distributed processing for big data.
• Proficiency in Python, R, or Scala for data science analytics.
• High School Diploma or GED required.

Responsibilities

• Apply statistical and ML methods to solve business problems using data.
• Use scalable data-driven solutions across inventory, supply chain, marketing, healthcare, cybersecurity, etc.
• Contribute to core data science capabilities and thought leadership.
• Mine large structured and unstructured data to derive actionable insights and recommendations.
• Collaborate with teams to deploy scalable solutions.

Skills

Statistics

Machine Learning

Data Mining

Python

R

Scala

Big Data

Education

High School Diploma or GED

Master's degree in quantitative field

Tools

Apache Spark

Apache Beam

GCP

Azure

AWS

Job description

Accenture Flex invites a Data Scientist to apply advanced statistical and machine learning methods to large datasets across the enterprise. You will contribute to data-driven insights, influence decision-making, and collaborate with cross-functional teams to deliver scalable analytics solutions.

The role is 100% onsite at a client location in Minneapolis, MN, with a strong emphasis on turning data into practical business outcomes and driving enhancements to customer experiences and operations.