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

Job Title - S&C Global Network - AI - Healthcare Analytics - Consultant

Management Level: 9-Team Lead/Consultant

Location: Bangalore/Gurgaon

Must-have skills: R,Phython,SQL,Spark,Tableau ,Power BI

Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills.

Job Summary:

This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions.

Roles & Responsibilities:

Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance.

WHAT’S IN IT FOR YOU?

• An opportunity to work on high-visibility projects with top Pharma clients around the globe. 
• Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies.
• Ability to embed responsible business into everything—from how you service your clients to how you operate as a responsible professional. 
• Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. 
• Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization.

Professional & Technical Skills:

- Relevant experience in the required domain. 

- Strong analytical, problem-solving, and communication skills. 

- Ability to work in a fast-paced, dynamic environment.

What you would do in this role

• 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
• Provide Subject matter expertise in various sub-segments of the LS 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. Also, assess implementation readiness and points of greatest impact.
• Co-lead proposals, and 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 his or her domain.

Who are we looking for?

• 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) 
• Leverage one’s hands on experience of working across one or more of these 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.
• 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 business problems and deliver client delight.
• Strong writing skills to build points of view on current industry trends.
• Good communication, interpersonal, and presentation skills

Additional Information:

- Opportunity to work on innovative projects. 

- Career growth and leadership exposure.

About Our Company | Accenture

Experience: 4-8 Years

Educational Qualification: Bachelor’s or Master’s degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

About Accenture

We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.Join Accenture to work at the heart of change.

Visit us at www.accenture.com 

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.