S&C GN - Data&AI - Life Sciences - Consultant at Accenture

Bengaluru, Karnataka, India

Accenture Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Life Sciences, PharmaceuticalsIndustries

Requirements

  • Excellent understanding of Pharma data sets – commercial, clinical
  • Hands-on experience working across one or more areas such as real-world evidence data, Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization
  • Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes
  • Bachelor’s or Master’s degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field
  • Proficient in Excel, MS Word, PowerPoint, etc
  • Ability to solve complex business problems and deliver client delight
  • Strong writing skills to build points of view on current industry trends
  • Good communication, interpersonal, and presentation skills

Responsibilities

  • Provide Subject matter expertise in various sub-segments of the LS industry
  • Support delivery of small to medium-sized teams to deliver consulting projects for global clients
  • Responsibilities may include strategy, implementation, process design, and change management for specific modules
  • Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science
  • Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community
  • Acquire new skills that have utility across industry groups
  • Support strategies and operating models focused on some business units and assess likely competitive responses
  • Assess implementation readiness and points of greatest impact
  • Drive strategic initiatives, manage business transformations, and leverage industry expertise to create value-driven solutions
  • Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance

Skills

Key technologies and capabilities for this role

Pharma data setscommercial dataclinical datareal-world evidenceStatistical ModelsMachine LearningSegmentationpredictive modelinghypothesis testingmultivariate statistical analysistime seriesoptimizationRPythonSQLSparkAWSAzureGoogle CloudTableauPower BI

Questions & Answers

Common questions about this position

What are the must-have skills for this Consultant role?

Candidates need an excellent understanding of Pharma data sets including commercial and clinical data, plus hands-on experience in areas like real-world evidence data, statistical models/machine learning such as segmentation, predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization.

What is the location for this position?

The job is located in Bangalore or Gurgaon.

What experience and education are required?

Proven experience of 4+ years in Life Sciences/Pharma/Healthcare projects is required, along with a Bachelor’s or Master’s degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

What kind of projects will I work on in this role?

You'll work on high-visibility projects with top Pharma clients globally, supporting delivery of small to medium-sized teams on consulting projects that may include strategy, implementation, process design, change management, data engineering, and data science.

What makes a strong candidate for this position?

Strong candidates have 4+ years of proven experience in Life Sciences/Pharma/Healthcare, relevant quantitative education, proficiency in Pharma datasets and advanced analytics/ML techniques, plus soft skills like strong communication, problem-solving, and writing to deliver client delight.

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters
1989Year Founded
$8.5MTotal Funding
IPOCompany Stage
Consulting, Enterprise Software, CybersecurityIndustries
10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.
Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.
The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.
The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.
Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.
The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.
Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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