Major Accountabilities (Describe the 5-7 main results of this role to be achieved)

• Considering business issues against the current processes and assisting in the development and / or implementation of solutions utilizing analysis techniques
• Propose data science problem solving approaches and co-create approaches to meet stakeholder needs
• Analyze, cleanse and visualize data to identify trends and make decisions
• Formally documenting functions and processes using PowerPoint
• Meeting with stakeholders to understand and review business objectives and project requirements
• Understand the different perspectives of multiple stakeholders whilst being comfortable to challenge where appropriate

Key Performance Indicators (Indicate how performance for this role will be measured)

• Customer satisfaction evaluation
• Customer satisfaction rating / feedback by internal stakeholders (Business Franchise Head, relevant management members, and brand marketing team)
• Analytics projects resulting in better decision making or tangible actions
• Literacy improvement as well as culture to make fact & data-driven decision making

Background (State the required education, experience level, and competency profile)

Education:

• Academic background in a relevant quantitative field, e.g. statistics, engineering, computer science, with an advanced degree (MSc) in one of these disciplines preferred.

Experience/Professional requirement:          

• Experience providing advanced analytics as a Data Scientist in pharmaceutical industry, medical or other front office context
• Strong technical expertise in data science, statistical modelling and/or machine learning
• Fluency with Python machine learning and / or R and data science packages (Pandas, Numpy, Scikit-learn, Tensorflow, etc.)
• Professional record demonstrating business impact; domain experience in areas such as pharmaceutical industry, real world evidence, customer analytics, CRM, and digital marketing will be beneficial.
• Excellent documentation, communication and presentation skills, including the ability to explain and present the findings of technical work to non-expert audiences
• Excellent communication and stakeholder management skills and ability to integrate well into a team and build effective relationships
• Demonstrated experience in effectively leading and managing cross-functional teams to achieve project milestones and deliverables.
• Proven ability to foster a collaborative and motivated team environment, ensuring open communication and knowledge sharing among team members.
• Proven ability to collaborate effectively with global teams
• Previous track record of successfully delegating tasks, setting performance expectations, and providing constructive feedback to team members.
• Strong interpersonal skills with the ability to resolve conflicts, promote employee engagement, and maintain a positive work culture.
• Substantial leadership experience in guiding teams through complex projects, making critical decisions, and adapting to changing priorities.
• Proven ability to inspire and influence others towards achieving organizational goals, fostering a sense of ownership and dedication.
• Proven expertise in leading teams through organizational changes, demonstrating resilience and adaptability in the face of shifting priorities.

English Skill:

• Business level is required