S&C Global Network - AI - Life Sciences -Data Science Analyst at Accenture

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Life Sciences, PharmaIndustries

Requirements

Bachelor’s or Master’s degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field
Proven experience (2+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes
Understanding of Pharma data sets – commercial, clinical, RWE (Real World Evidence) & EMR (Electronic medical records)
Hands-on experience of working across one or more areas such as real-world evidence data, R&D clinical data, digital marketing data
Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization
Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc
Proficiency in Programming languages such as R, Python, SQL, Spark, etc
Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL
Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models
Experience with any of the Data Visualization tools like Tableau, Power BI, Qlikview, Spotfire is good to have
Excellent analytical and problem-solving skills, with a data-driven mindset
Proficient in Excel, MS Word, PowerPoint, etc
Ability to solve complex problems

Responsibilities

Support delivery of small to medium-sized teams to deliver consulting projects for global clients, including 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
Work on variety of projects in Data Modeling, Data Engineering, Data Visualization, Data Science etc
Acquire new skills that have utility across industry groups
Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact
Make presentations wherever required to a known audience or client on functional aspects of his or her domain

Skills

Key technologies and capabilities for this role

Data EngineeringData ScienceAnalyticsPredictive ModellingAIStrategyChange ManagementProcess Design

Questions & Answers

Common questions about this position

What is the job location for this position?

The job is located in Delhi, Gurgaon, Mumbai, or Bangalore.

What degree is required for this role?

A Bachelor’s or Master’s degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field is required.

What experience is needed for this position?

Proven experience of 2+ years in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes is required, along with understanding of Pharma data sets like commercial, clinical, RWE, and EMR.

What kind of company culture does Accenture offer?

Accenture offers a culture committed to accelerating equality for all, with boundaryless collaboration across the organization, personalized training modules, and opportunities to embed responsible business practices.

What makes a strong candidate for this role?

Strong candidates have a quantitative degree, 2+ years of experience in Life Sciences/Pharma/Healthcare projects, and hands-on experience with Pharma data sets such as commercial, clinical, RWE, and EMR.

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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