Senior Consultant - Data Analytics and AI

As a Senior Consultant - Data Analytics and AI, you will play a key role in driving business growth through data-driven insights and digital transformation.

Key responsibilities include:

• Strategic and structured thinking: Understand and digest strategic agenda of clients' ask and breakdown business problems with logic structure.
• Client Engagement: 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: Lead teams to deliver consulting or in-house projects, organizing delivery, setting timelines, milestones and team setup.
• Solution Design: Design tailored solutions addressing client needs, delivering measurable business outcomes, leveraging expertise in data analytics, AI/ML, and digital transformation.
• Data Analysis: Conduct in-depth analysis of complex datasets to derive actionable insights and recommendations, using tools like 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 solution implementation, providing guidance and support throughout deployment.
• Thought Leadership: Stay updated on industry trends, emerging technologies, and best practices in applied intelligence, contributing to thought leadership initiatives and sharing knowledge internally and with clients.

Requirements:

• Bachelor's/master's degree in Business, Computer Science, Data Science, or related fields.
• Minimum 5 years of experience in digital consulting, data analytics, AI or related roles, preferably in healthcare or consumer goods industries.
• Proficiency in written and spoken English.
• Experience in senior client dialogues.
• Programming skills in languages like 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).

Benefits: No specific benefits mentioned.