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Accenture

Advises businesses and runs their technology

Data Science Consultant - Multiple Teams

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A master’s degree in computer science, statistics, applied mathematics, or a related field with at least 3 years of experience, or a bachelor’s degree in those fields with at least 4 years of experience.
  • Four to eight years of experience in healthcare analytics.
  • Proficiency in Python programming.
  • Advanced data manipulation using Pandas and NumPy.
  • Proficiency in SQL or PySpark.
  • Experience with machine learning and deep learning, including Scikit-learn and PyTorch or TensorFlow.
  • Knowledge of natural language processing and related frameworks, including named entity recognition, summarization, embeddings, Hugging Face, and LangChain.
  • Knowledge of generative AI, including large language models, Transformers, and diffusion models.
  • Knowledge of retrieval-augmented generation and prompt engineering.
  • Experience handling unstructured text, chat, and email data.

Responsibilities

  • Develop and fine-tune generative AI models to automate responses and improve customer interactions.
  • Build and deploy machine learning models for intent classification, sentiment analysis, and predictive analytics.
  • Apply natural language processing techniques, including named entity recognition, summarization, and embeddings, using frameworks such as Hugging Face, LangChain, and OpenAI application programming interfaces.
  • Optimize conversational AI workflows for real-time decision-making and improved self-service.
  • Analyze large-scale customer interaction data to extract actionable insights.
  • Work with unstructured text, audio, chat, and email data to build AI and machine learning pipelines.
  • Collaborate with engineering, product, and marketing teams to integrate AI solutions.
  • Use cloud platforms such as Azure, AWS, and Google Cloud Platform for scalable AI and machine learning development and deployment.
  • Work with managers to obtain client business requirements and deliver analytics-driven solutions.
  • Generate actionable recommendations supported by quantitative analysis to help clients address ongoing problems.
  • Present analytic findings and opportunities for improvement to senior management, summarize key findings, and support dissemination of metrics throughout the organization.
  • Build a knowledge base and disseminate information on applications of analytical techniques.
  • Develop statistical models and deliver analytic offerings and solutions in health-domain areas.

Desired Qualifications

  • Experience with large language model optimization, including fine-tuning, prompt engineering, and efficient deployment.
  • Experience with cloud-native AI and machine learning services such as Azure Machine Learning, AWS SageMaker, and Google Cloud Vertex AI.
  • Experience with customer segmentation and behavioral analysis.
  • Experience optimizing conversational AI.
  • Experience with large-scale data analysis.
  • Knowledge of agentic AI, including multi-agent orchestration, memory, and autonomous workflows.
  • Experience handling unstructured audio data.

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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