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Accenture

Advises businesses and runs their technology

Data Science Analyst - Multiple Teams

Applied Machine Learning +1Confirmed live in the last 24 hours
Full-timePune, Maharashtra, IndiaNo salary listed

About the Job

Requirements

  • At least 1 year of experience in Health Analytics, as the posting's overall stated experience range is 1–4 years.
  • A Master's degree in computer science, statistics, applied mathematics, or a related field with at least 2 years of experience, or a Bachelor's degree in those fields or a related field with at least 3 years of experience.
  • Ability to extract strategic insights from large data sets.
  • Adeptness with statistical techniques such as forecasting, modeling, and optimization models; machine learning techniques such as gradient boosting machines and decision trees; and deep learning.
  • Proficiency in Python, Spark, SQL, or similar data-handling packages.
  • Ability to communicate ideas and results clearly to non-technical businesspeople, both orally and in writing.
  • Aptitude, ability, motivation, and interest in applying quantitative analysis in the context of marketing and business economics.
  • Knowledge of and experience working with visualization tools such as Tableau and Power BI.
  • Must-have skills include machine learning and deep learning, generative AI, natural language processing, Python, R, AI, SQL, handling unstructured data such as text, audio, emails, and chat, and visualization tools such as Tableau and Power BI.

Responsibilities

  • Develop and fine-tune generative AI models to improve customer interactions, automate responses, and enhance self-service capabilities.
  • Build and deploy machine learning models for use cases including intent classification, sentiment analysis, and predictive analytics.
  • Conduct customer segmentation and behavioral analysis to identify patterns, personalize recommendations, and drive targeted engagement strategies.
  • Optimize conversational AI workflows by improving intent recognition, response generation, and real-time decision-making.
  • Analyze large-scale customer interaction data to extract actionable insights and refine business strategies.
  • Collaborate with engineering, product, and marketing teams to integrate AI-driven solutions into existing platforms.
  • Work with unstructured data, including text, audio, emails, and chat, to build robust AI and machine learning pipelines and solutions.

Desired Qualifications

  • Experience in Graph Neural Networks for complex relational data modeling.
  • Expertise in large language model optimization, including fine-tuning, prompt engineering, and efficient deployment of large language models.
  • A track record of scientific publications or intellectual property generation demonstrating expertise in AI and data science.
  • Exposure to agentic AI approaches, including tool use, planning and memory, multi-agent orchestration, and autonomous workflows.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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