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Accenture

Advises businesses and runs their technology

Strategy & Consulting Data & AI Consultant - Life Sciences

Applied Machine LearningConfirmed 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 expertise in generative artificial intelligence, with a track record of creating and deploying generative and agentic artificial intelligence solutions.
  • At least four years of experience working on Life Sciences, pharmaceutical, or healthcare projects and delivering successful outcomes.
  • A 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 and machine learning models, including segmentation, predictive modeling, hypothesis testing, multivariate statistical analysis, time-series techniques, and optimization.
  • Proficiency in programming languages such as Python, SQL, and Spark.
  • Ability to work with large datasets and present findings and insights to key stakeholders; experience managing data using databases such as SQL.
  • Experience with at least one cloud platform, such as AWS, Azure, or Google Cloud, for deploying and scaling language models.
  • Strong analytical and problem-solving skills, with a data-driven mindset.
  • Proficiency with Excel, Microsoft Word, and PowerPoint.
  • Ability to solve complex business problems and deliver client outcomes.
  • Strong writing skills to develop points of view on current industry trends.
  • Communication, interpersonal, and presentation skills.
  • Relevant experience in the required domain and the ability to work in a fast-paced, dynamic environment.

Responsibilities

  • Deliver strategic advice to clients through data-driven recommendations that improve business outcomes.
  • Independently manage client communications to ensure clear understanding of project objectives and progress.
  • Design and implement generative artificial intelligence, retrieval-augmented generation, agentic artificial intelligence, or traditional artificial intelligence and machine learning algorithms tailored to business challenges in healthcare and life sciences.
  • Apply life sciences dataset knowledge and domain expertise to develop robust analytics solutions.
  • Support consulting project delivery for global clients as part of a small or medium-sized team 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.
  • Support delivery of consulting projects for global clients in small or medium-sized teams.
  • Perform strategy, implementation, process design, and change management for assigned modules.
  • Work on assigned projects as part of a team or as an individual contributor, applying skills from data engineering to data science.
  • 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, implementation readiness, and areas of greatest impact.
  • Co-lead proposals and business development efforts, coordinating with colleagues to create consensus-driven deliverables.
  • Execute a transformational change plan aligned with the client’s business strategy and context; engage stakeholders and build commitment to change.
  • Present functional subject matter to a known audience or client when required.
  • Continue learning to develop consulting capability, industry knowledge, and technical skills.

Desired Qualifications

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

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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