AI/ML Computational Science Sr Analyst, Accenture

May 13, 2026

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Job Description

Accenture is hiring an AI/ML Computational Science Sr Analyst who will develop advanced Machine Learning and Data Science solutions for enterprise operations. The role requires the development of predictive models and the establishment of analytics systems along with the provision of immediate insights to multiple sectors which include Retail and Supply Chain and Finance. The candidate will work together with international teams to create data science solutions which can grow their business by using advanced artificial intelligence and analytical methods to analyze complicated data sets.

Experience: 5–8 years

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Main Duties:

  • Assist in developing machine learning and data science models for enterprise business solutions.
  • Analyze complex datasets to generate insights supporting Retail, Supply Chain, and Finance operations.
  • Design predictive analytics solutions including demand forecasting and time series analysis models.
  • Collaborate with global data science teams to develop innovative AI-powered analytics platforms.
  • Integrate analytics outcomes into real-time business systems to enhance operational decision-making.

Essential Qualifications:

  • Five and eight years of experience in Data Science or Machine Learning jobs. 
  • Practical skills in Python and statistical programming and advanced analytics methods. 
  • Experience using data visualization tools which include Power BI and advanced Excel functions. 
  • Machine learning methods which consist of regression and classification and clustering and natural language processing. 
  • Handle extensive data sets while using analytical methods to address complicated business challenges.

Preferred Skills:

  • Experience by working with Oracle Retail Demand Forecasting which enables him to forecast retail demand and adapt to different retail analytics situations. 
  • Developed advanced skills in time series forecasting which he applies to retail supply chain demand planning. 
  • Ensemble modeling techniques which include random forest and boosted tree methods. 
  • Ability to work with international teams while presenting analytical results for effective communication. 
  • Analytical abilities together with his statistical skills to develop solutions for complex problems which require creative thinking.