A

Accenture

Advises businesses and runs their technology

AI Healthcare Analytics Consultant

Applied Machine Learning +1Confirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • A Bachelor's or Master's degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or another quantitative field.
  • Extensive GenAI expertise and a track record of creating and deploying GenAI and Agentic AI solutions.
  • At least 4 years of experience working on Life Sciences, Pharma, or Healthcare projects and delivering outcomes.
  • Strong understanding of pharmaceutical datasets, including commercial, clinical, real-world evidence, and electronic medical records.
  • Hands-on experience in one or more areas, such as real-world evidence data, research and development clinical data, or digital marketing data.
  • Hands-on experience handling datasets such as Komodo, RAVE, IQVIA, Truven, and Optum.
  • Hands-on experience building and deploying statistical models and machine learning, including segmentation, predictive modeling, hypothesis testing, multivariate statistical analysis, time-series techniques, and optimization.
  • Proficiency in programming languages such as Python, SQL, or Spark.
  • Ability to work with large datasets and present findings and insights to key stakeholders; experience managing data with databases such as SQL.
  • Experience with at least one cloud platform, such as AWS, Azure, or Google Cloud, for deploying and scaling language models.
  • Excellent analytical and problem-solving skills and a data-driven mindset.
  • Proficiency in Excel, Microsoft Word, and PowerPoint.
  • Ability to solve complex business problems.
  • Strong writing skills for developing points of view on current industry trends.
  • Good communication, interpersonal, and presentation skills.
  • Relevant experience in the required domain.

Responsibilities

  • Deliver strategic advice to clients through data-driven recommendations that improve business outcomes.
  • Manage client communications independently, ensuring project objectives and progress are clearly understood.
  • Design and implement GenAI, retrieval-augmented generation, agentic AI, or traditional AI and machine learning algorithms for business challenges in healthcare and life sciences.
  • Apply knowledge of life sciences datasets and domain expertise to develop analytics solutions.
  • Support consulting project delivery for global clients, working on small-to-medium-sized teams or as an individual contributor.
  • Collaborate with cross-functional teams using data engineering, data science, and business intelligence tools such as Power BI or Tableau.
  • Apply design thinking and business process optimization to recommend and implement value-driven solutions.
  • Develop consulting acumen, industry knowledge, and technical capabilities through ongoing learning.
  • Support delivery of consulting projects for global clients in small-to-medium-sized teams.
  • Perform strategy, implementation, process design, and change management for assigned modules.
  • Contribute to assigned projects as part of a team or as an individual contributor, applying data engineering and data science skills.
  • Provide subject matter expertise in life sciences industry subsegments.
  • Develop assets, methodologies, points of view, research, and white papers for the team and broader community.
  • Acquire skills applicable across industry groups.
  • Support strategies and operating models for business units, assess likely competitive responses, and evaluate implementation readiness and potential impact.
  • Co-lead proposals and business development efforts, coordinating with colleagues to create consensus-driven deliverables.
  • Execute transformational change plans aligned with client business strategy and context, engage stakeholders, and build commitment to change.
  • Present domain-related material to an identified audience or client when required.

Desired Qualifications

  • Experience with R, Spark, or Databricks.
  • Experience with data visualization tools such as Tableau, Power BI, QlikView, or Spotfire.
  • Ability to apply design thinking, business process optimization, and stakeholder management skills.

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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