India - Bangalore, India · last month
Design, develop, deploy and maintain predictive models and advanced analytics for life science marketing problems such as marketing effectiveness, customer segmentation and demand planning. Work with business teams to scope problems and communicate actionable findings.
Job Objective: Design, Develop, Deploy and Maintain - Predictive models based on Business Case. Handle end to end projects in Marketing Analytics for Life Science companies Roles & Responsibilities: Work with internal business teams to understand problem statement, requirements and use cases Work on Business problems including Marketing Effectiveness, Sales Engagement & Next Best Action, Demand Planning, Customer Segmentation, Test & Control analysis Conduct simple and advanced data analysis to help clients make good business decisions Apply advanced statistical, econometric, optimization models and algorithms to real-world business problems Explore emerging statistical models as well as provide analysis using existing models Build solutions on Structured as well as Un-structured data like Text, Images etc. Maintain the highest standards to follow the best practices and trending analytics in pharma domain Work with project leadership to define project scope Requirements: Masters in Statistics, Marketing, Finance, Operations research 2-3 years of work experience on analytic work (use of advanced modelling projects and tools such as R, Python etc.). Knowledge of promotional channels and digital analytics. Strong analytical skills, excellent communication skills and the ability to communicate actionable analytical findings. Familiarity with the application of analytics to sales, marketing, or managed markets problems. Ability and desire to work in a proactive, highly engaging, high-pressure, client service environment. Should have sound experience in data mining and data analysis. Additional Skills: Knowledge on various commonly used transactional data assets and others including Volumes/ Value, Rx, Specialty level, Longitudinal Patient level data assets Trinity powers the future of life sciences commercialization through the fusion of human and artificial intelligence. By blending deep therapeutic expertise and trusted human ingenuity with a purpose-built technology platform, Trinity accelerates clarity and confidence at every step of the commercialization journey—from pre-launch to scale to loss of exclusivity. For more than 30 years, the world’s leading pharmaceutical, biotech, and medtech companies have relied on Trinity’s foresight, execution, and partnership to deliver confident product launches, decisive market advantage, and measurable patient impact. During that time, Trinity expanded from its first office in Waltham, MA to 1,300 professionals across 14 offices and five continents, setting new industry standards in quality, responsiveness, and client partnership. For more information, visit Trinity at www.trinitylifesciences.com. Early Talent Learning & Development Inclusion & Engagement Practice Case Study
Posted Sep 27, 2026
