Key Responsibilities

• Build and deliver predictive, classification, machine learning, and statistical models for commercial pharma analytics projects.
• Analyze large datasets from sources such as claims, sales, promotions, and other commercial data to generate actionable insights.
• Support analytics projects across multi-channel marketing analytics, targeting and segmentation, predictive analytics, resource allocation, optimization, and ad-hoc business requests.
• Work closely with senior associates and internal stakeholders to translate business problems into analytical solutions.
• Support process improvements, automation, documentation, SOPs, and quality checklists to ensure consistent and high-quality delivery.
• Contribute to the exploration and integration of emerging AI technologies, including Generative AI and LLMs.
• Manage project delivery with structured communication, documentation, and timely stakeholder updates.

Essential Requirements

• Minimum 2 years of experience in data science, preferably within pharmaceutical, healthcare, life sciences, or analytics domains.
• Strong understanding of statistics, predictive analytics, machine learning, and deep learning algorithms.
• Hands-on experience in programming languages such as Python, R, or PySpark.
• Experience in analyzing large and complex datasets from multiple sources.
• Strong problem-solving skills with the ability to develop practical and creative analytical solutions.
• Good verbal and written communication skills with the ability to present insights and solutions to stakeholders.
• Ability to work independently as an individual contributor and collaborate effectively across teams and time zones.

Desirable Requirements

• Experience working with pharma or healthcare datasets such as claims, sales, promotions, targeting, segmentation, or marketing analytics data.
• Exposure to commercial pharma analytics, multi-channel marketing analytics, resource allocation, or optimization projects.
• Knowledge or hands-on exposure to Generative AI, LLMs, or emerging AI technologies.
• Experience in process improvement, automation, SOP creation, quality checks, or project documentation.
• Relevant certifications in Data Science, Machine Learning, AI, Python, R, PySpark, Cloud Analytics, or Generative AI would be an added advantage.

Education

• Any Full-time Graduate.

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