A

Accenture

Advises businesses and runs their technology

Healthcare Analytics Consultant - AI, Life Sciences-Data Science

Applied Machine Learning +1Confirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo 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 AI, with a track record of creating and deploying generative AI and agentic AI solutions.
  • Four or more years of experience working on Life Sciences, Pharma, or Healthcare projects and delivering successful 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 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, present findings and insights to key stakeholders, and manage 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.
  • Proficient use of Excel, MS Word, and PowerPoint.
  • Ability to solve complex business problems and deliver client outcomes.
  • Strong writing skills for developing points of view on current industry trends.
  • Relevant experience in the required domain.
  • Ability to work in a fast-paced, dynamic environment.

Responsibilities

  • Deliver strategic advice to clients by providing data-driven recommendations that enhance business outcomes.
  • Independently manage client communications, ensuring clear understanding of project objectives and progress updates.
  • Design and implement generative AI, retrieval-augmented generation, agentic AI, or traditional AI and machine-learning algorithms tailored to business challenges in the healthcare and life sciences sector.
  • Apply knowledge of life sciences datasets 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.
  • Develop consulting acumen, industry knowledge, and technical capabilities through ongoing learning.
  • 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 individually or with a team, applying skills across data engineering and data science.
  • Provide subject-matter expertise in life sciences industry subsegments.
  • Develop assets and methodologies, points of view, research, and white papers for the team and wider community.
  • Acquire skills with utility 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, and coordinate 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 functional and domain-related material to audiences or clients when required.

Desired Qualifications

  • Experience with R.
  • Experience with Spark.
  • Experience with Databricks.
  • Ability to apply design thinking, business process optimization, and stakeholder management skills.
  • 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

Recently Posted Jobs

Explore more opportunities at Accenture

See more jobs