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

Gurugram, Haryana, India

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Life Sciences, Healthcare, PharmaceuticalsIndustries

Requirements

Candidates must possess a Bachelor's or Master's degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or a related quantitative field. They should have 4+ years of experience in Life Sciences/Pharma/Healthcare projects, with a strong understanding of Pharma data sets including commercial, clinical, Real World Evidence (RWE), and Electronic Medical Records (EMR). Proficiency in R, Python, SQL, and Spark is essential, along with hands-on experience in statistical modeling, machine learning (segmentation, predictive modeling, hypothesis testing, multivariate statistical analysis, time series, optimization), and data management using SQL databases. Experience with cloud platforms (AWS, Azure, Google Cloud) and data visualization tools is also required.

Responsibilities

The role involves providing strategic advisory services, conducting market research, and developing data-driven recommendations to improve business performance. Responsibilities include supporting consulting projects for global clients, potentially covering strategy, implementation, process design, and change management. The analyst will utilize skills from data engineering to data science, provide subject matter expertise in the Life Sciences industry, and develop assets, methodologies, and research papers. Additionally, the role requires supporting strategies and operating models, co-leading proposals and business development efforts, executing transformational change plans, engaging stakeholders, and presenting findings to clients.

Skills

Python

SQL

Spark

Tableau

Power BI

Design Thinking

Business Process Optimization

Stakeholder Management

Data Engineering

Data Science

Strategic Advisory

Market Research

Data-driven Recommendations

Responsible Business

Consulting

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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