The key responsibilities may include:

Strategic and structured thinking: Understand and digest strategic agenda of clients’ ask and breakdown business problems with logic structure.

Client Engagement: Be able to face clients’ management and leadership team to understand their business objectives, challenges, and opportunities in leveraging data and digital technologies for competitive advantage.

Industry knowledge: Be familiar with healthcare (pharmaceutical or medical device) and consumer goods industry from either consulting project experience or corporate in-house experience.

Team leadership: Own the experience to lead teams to deliver consulting or in-house projects. Understand how to organize the delivery of a consulting project, e.g. timeline, deliverable description, team set-up, milestone set-up.

Solution Design: Design tailored solutions that address client needs and deliver measurable business outcomes, leveraging your expertise in data analytics, AI/ML, and digital transformation.

Data Analysis: Conduct in-depth analysis of complex datasets to derive actionable insights and recommendations, utilizing tools such as Python, R, SQL, and visualization libraries.

Model Development: Develop predictive models, algorithms, and machine learning pipelines to solve business problems and optimize decision-making processes.

Implementation Support: Work closely with technical teams to ensure successful implementation of solutions, providing guidance and support throughout the deployment process.

Thought Leadership: Stay abreast of industry trends, emerging technologies, and best practices in applied intelligence, contributing to thought leadership initiatives and sharing knowledge internally and with clients.

• Bachelor’s / master’s degree in Business, Computer Science, Data Science, or related fields;

• Minimum of 5 years of experience in digital consulting, data analytics, AI or related roles, preferably in the healthcare or consumer goods industries.

• Proficiency in written and speaking English in working environment. • Experiences and proven record in senior client dialogues.

• Experience in programming languages such as Python

• Strong understanding of data manipulation, statistical analysis, and machine learning techniques.

• Experience with data visualization tools (e.g., Tableau, Power BI) and relational databases (e.g., SQL Server, PostgreSQL).

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

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