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

Gurugram, Haryana, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Life Sciences, Healthcare, PharmaceuticalsIndustries

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 (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes
Excellent 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 with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc
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
Proficiency in Programming languages such as R, Python, SQL, Spark, etc. (Must-have: R, Python, SQL, Spark, Tableau, Power BI)
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
Good to have: Ability to leverage design thinking, business process optimization, and stakeholder management skills

Responsibilities

Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance
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 projects, utilizing skills from Data Engineering to Data Science
Provide Subject matter expertise in various sub-segments of the LS (Life Sciences) industry
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
Co-lead proposals, business development efforts, and coordinate with other colleagues to create consensus-driven deliverables
Execute a transformational change plan aligned with the client’s business strategy and context for change; engage stakeholders in the change journey and build commitment to change
Make presentations wherever required to a known audience or client on functional aspects of domain

Skills

Python

SQL

Spark

Tableau

Power BI

Data Engineering

Data Science

Design Thinking

Business Process Optimization

Stakeholder Management

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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