Data Scientist

Role Overview: At Improzo, we are seeking a Data Scientist in Pune to drive insights for pharma clients using advanced ML, Gen AI, and LLMs on complex healthcare data. You will have the opportunity to optimize Pharma commercial strategies and improve patient outcomes by working with leading Life Sciences clients, seasoned leaders, and carefully chosen peers. Key Responsibilities: - Engage with client/business stakeholders to deeply understand their challenges and strategic objectives. - Explore, clean, and prepare large, complex datasets from various sources. - Translate ambiguous business problems into well-defined data science questions. - Design, develop, validate, and deploy statistical models and machine learning algorithms. - Analyze promotional effectiveness and patient persistency/adherence. - Extract insights from unstructured text data and automate content generation for internal use. - Transform analytical findings into clear narratives and actionable recommendations. - Collaborate effectively with cross-functional teams throughout the project lifecycle. Qualifications: - Master's or Ph.D. in Data Science, Statistics, Computer Science, or related quantitative field. - 4+ years of experience as a Data Scientist within the healthcare, pharmaceutical, or life sciences industry. - Solid understanding of pharmaceutical commercial operations and experience working with real-world patient data. - Strong programming skills in Python and/or R, expertise in SQL, and experience with machine learning frameworks. - Proficiency in data visualization tools and familiarity with cloud platforms and big data technologies. - Specific experience with NLP techniques, Generative AI models, LLMs, and MLOps practices. - Knowledge of pharmaceutical or biotech industry regulations and compliance requirements. - Excellent communication, presentation, and interpersonal skills. Benefits: - Competitive salary and benefits package. - Opportunity to work on cutting-edge Analytics projects in the life sciences industry. - Collaborative and supportive work environment. - Opportunities for professional development and growth.,