AI/Data Science Senior Analyst, Accenture

Data Science
Karnataka, India, Bengaluru
March 16, 2026
Full Time

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Job Description

Accenture is hiring an AI/Data Science Senior Analyst who will create advanced analytics and AI solutions which produce usable insights for marketing and business stakeholders. The position requires the candidate to work with multiple teams in order to create machine learning models and examine complex data sets and implement scalable AI systems which enable organizations to make data-based decisions and improve their business operations.

Job ID: R00280836

Date Posted: February 2026

Expiration Date: NA

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Main Duties

  • Develop and implement AI/ML models to generate insights and recommendations for business stakeholders.
  • Analyze structured and unstructured datasets using advanced analytics, NLP, and visualization techniques.
  • Collaborate with marketing and technical teams to translate business needs into scalable data solutions.
  • Integrate machine learning models into production using MLOps pipelines and automation practices.
  • Ensure data quality, privacy, and governance standards across data collection, processing, and deployment workflows.

Essential Qualifications

  • Bachelor’s degree program which must include Computer Science Data Science Engineering or a similar technical discipline. 
  • Demonstrate advanced programming skills in Python, which include using Pandas and NumPy and Scikit-learn libraries. 
  • Possess an understanding of statistical modeling and machine learning algorithms together with evaluation techniques. 
  • Experience with SQL, which enables him to perform data extraction and transformation and preprocessing tasks. 
  • Knowledge about model deployment procedures, version control systems, testing methods, and monitoring techniques.

Preferred Qualifications

  • Experience with FastAPI development work and experience with creating machine learning application programming interfaces. 
  • Knowledge about LLM fine-tuning and embeddings and domain-specific AI model training methods. 
  • Applicant has gained knowledge about Agentic AI principles together with autonomous agent systems. 
  • Demonstrates expertise in using cloud services from AWS, Azure and GCP together with data platforms, which include Snowflake and BigQuery. 
  • Possesses knowledge about digital marketing platforms, which include Adobe Analytics, Salesforce, Sprinklr and Eloqua.

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