A

Accenture

Advises businesses and runs their technology

AI Healthcare Analytics Consultant - Life Sciences-Data Science

Full-Time
No salary listed
Mid, Senior
Bachelor's, Master's
Gurugram, Haryana, India
In Person
ConsultingStrategy & Management Consulting

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.
  • At least 4 years of experience working on Life Sciences, pharmaceutical, or healthcare projects and delivering successful outcomes.
  • Extensive experience creating and deploying Generative AI and Agentic AI solutions.
  • A strong understanding of pharmaceutical datasets, including commercial, clinical, real-world evidence, and electronic medical records data.
  • Hands-on experience working with real-world evidence data, research and development clinical data, or digital marketing data.
  • Hands-on experience handling datasets such as Komodo, RAVE, IQVIA, Truven, or 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 and technologies such as Python, SQL, and Spark.
  • Ability to work with large datasets and present findings and insights to key stakeholders.
  • Experience with a cloud platform such as Amazon Web Services, Microsoft Azure, or Google Cloud for deploying and scaling language models.
  • Proficiency in Microsoft Excel, 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 through data-driven recommendations that enhance business outcomes.
  • Manage client communications independently, ensuring clear understanding of project objectives and progress updates.
  • Design and implement Generative AI, retrieval-augmented generation, Agentic AI, or traditional artificial intelligence and machine learning algorithms for healthcare and life sciences business challenges.
  • Apply knowledge of life sciences datasets and domain expertise to develop robust analytics solutions.
  • Support delivery of consulting projects for global clients as part of a small to medium-sized team or as an individual contributor.
  • Collaborate with cross-functional teams using data engineering, data science, and business intelligence tools.
  • Apply design thinking and business process optimization to recommend and implement value-driven solutions.
  • Support consulting project delivery for global clients.
  • Perform strategy, implementation, process design, and change management for assigned modules.
  • Work with the team or as an individual contributor across data engineering and data science activities.
  • Provide subject matter expertise across life sciences industry subsectors.
  • Develop assets, methodologies, points of view, research, and white papers for the team and broader community.
  • Acquire new skills applicable across industry groups.
  • Support strategies and operating models for business units and assess competitive responses, implementation readiness, and areas of greatest 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 for change.
  • Engage stakeholders in the change journey and build commitment to change.
  • Present functional domain content to known audiences or clients.
  • Participate in ongoing learning to develop consulting expertise, industry knowledge, and technical capabilities.
Desired Qualifications
  • Experience with R.
  • Experience with 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 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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Simplify's Take

What believers are saying

  • Business demand grew: October 2026 results showed $74.2 billion annual revenue, up 5% in local currency.
  • Eligible US employees buy discounted stock: Accenture's purchase plan sells shares at 15% below market price.
  • Client relationships run deep: Accenture has worked with 195 of its top 200 customers for more than ten years.

What critics are saying

  • Bookings are not guaranteed revenue: most Accenture contracts let clients cancel quickly with little or no penalty.
  • Promotions require AI adoption: Accenture's CEO said in March 2026 that employees must use its tools effectively.
  • Federal hiring practices proved costly: Accenture settled discrimination allegations for $25 million in September 2026, without a liability finding.

What makes Accenture unique

  • Its AI platform switches models: AI Refinery selects among prebuilt models according to cost, performance and other requirements.
  • Accenture owns specialist Microsoft expertise: it cofounded the Microsoft-focused Avanade consultancy with the software maker.
  • Consulting includes creative agencies: Accenture Song owns businesses spanning advertising, digital product design and customer engagement.

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Benefits

Health Insurance

Professional Development Budget

401(k) Retirement Plan

401(k) Company Match

Company News

Yahoo Finance
Oct 14th, 2026
Accenture plans $9.5B shareholder returns and $5B acquisitions as it bets on AI reinvention

Accenture (NYSE: ACN) is betting on enterprise AI as its main growth engine. At its Investor and Analyst Day, the company targeted at least mid-single-digit constant-currency revenue growth in fiscal 2027 and 2028, rising to mid- to high-single-digit growth from fiscal 2029. Chief executive officer Julie Sweet said AI will create new demand that exceeds work lost to automation. The company has grown its AI and data workforce from 40,000 to nearly 110,000. Accenture plans to return $9.5 billion to shareholders in fiscal 2027 and spend about $5 billion on acquisitions. It expects annual operating-margin growth of 10 to 30 basis points. Its network of specialised businesses, now 6% of revenue, could double by fiscal 2029. Fiscal 2026 revenue was $74.2 billion, up 5% in local currency.

Yahoo Finance
Oct 14th, 2026
Accenture shares up 10.4% as dividend rises to $1.71 and AI alliances with Dell and Workday expand

Accenture shares rose 10.4% after the company reported higher sales and earnings for its fourth quarter and full year in early October 2026. It confirmed fiscal 2027 guidance, raised its quarterly dividend to $1.71 per share, and completed a long-running share repurchase program. The company also expanded its AI alliances with Dell and Workday and acquired Sagacity. It aims to embed agentic AI into client functions such as HR, finance, and customer engagement. Accenture's narrative projects $86.3 billion in revenue and $10.3 billion in earnings by 2029, up from $8.4 billion today. Pricing pressure and slower discretionary spending remain the main risks.

Yahoo Finance
Oct 13th, 2026
Accenture shares up 77% from June low as Oct. 14 Investor Day nears

Accenture will hold an Investor Day on October 14, where it is expected to detail its long-term strategy, AI monetisation plans, growth guidance, and margin expansion goals. The event follows a rebound in its shares after fears that AI would erode traditional consulting work. The stock hit a low of $118.15 in June, down from a January high of $291.09. It has since gained nearly 77%, helped by fourth-quarter results on October 1 and an expanded collaboration with Dell Technologies. Fourth-quarter revenue rose 6% to $18.7 billion, and new bookings reached $22.2 billion. Accenture expects fiscal 2027 revenue growth of 3% to 6% in local currency. It raised its quarterly dividend by 5% to $1.71 per share, payable November 13, 2026. Its market capitalisation is about $139.6 billion.

Yahoo Finance
Oct 13th, 2026
Accenture buys UK data firm Sagacity, adding more than 140 AI customer intelligence specialists

Accenture has acquired Sagacity, a London-based data and customer intelligence firm, to strengthen Accenture Song's AI-powered customer services. The deal brings more than 140 professionals to Accenture Song's UK and Ireland operations. Terms were not disclosed. Founded in 2005 by Anita Dougall, Malka Townshend, and Harry Dougall, Sagacity offers data assets, AI-enabled technology, and customer intelligence expertise. Accenture says clients want to connect data, AI, and operations into unified programmes that deliver measurable results. The move targets industries with large customer bases, such as utilities, retail, banking, and telecommunications. "Sagacity's deep expertise and outcome-focused approach will enhance our ability to help clients turn insight into action," said Sohel Aziz, senior managing director of Accenture Song, UK and Ireland.

Associated Press
Oct 6th, 2026
TM Forum and Accenture launch industry's first AI trust certification for telcos

TM Forum has launched a multi-year Trustworthy AI programme with Accenture to help telecoms deploy autonomous operations with verifiable trust standards. The initiative will deliver the industry's first Trustworthy AI Governance Certification, providing a benchmark for trusted AI deployment. Recent TM Forum research found that whilst 72% of communications service providers believe their AI capabilities are trustworthy, only 14% can verify their claims. The programme aims to transform AI trust from aspiration into measurable operational capability. The certification will help organisations assess governance maturity, workforce readiness, and operational accountability needed to scale AI autonomously. It will operate through TM Forum's AI-Native Collaboration Studios, where telecoms operators, vendors, and partners will contribute real-world use cases to shape the framework.