Lead Data Scientist

This role is for one of Weekday’s clients Salary range: Rs 3000000 - Rs 4000000 (ie INR 30 - 40 LPA)

Min Experience: 7+ years Location: Pune, Maharashtra, India JobType: full-time

We are seeking an experienced and technically strong Lead Data Scientist to lead client-facing analytics engagements and deliver advanced AI/ML solutions for global pharmaceutical and life sciences organisations. The role combines hands-on data science expertise, pharmaceutical commercial and marketing analytics, client engagement, and team leadership. The ideal candidate will have strong proficiency in Python, SQL, machine learning, statistical modelling, forecasting, and cloud technologies, along with practical experience working with pharmaceutical datasets. They will lead analytics projects end to end, translate complex business challenges into scalable data-driven solutions, and present actionable recommendations to senior stakeholders. This role requires a balance of technical depth, commercial understanding, stakeholder management, and the ability to mentor analytics teams while ensuring high-quality project delivery. Requirements Key Responsibilities 1. Data Science and Analytics Solution Delivery - Partner with clients and business stakeholders to understand business challenges, define analytical problems, and develop appropriate data science solutions. - Lead end-to-end analytics engagements, from problem definition and data exploration to model development, deployment, and impact measurement. - Design and implement scalable advanced analytics, machine learning, and AI solutions for pharmaceutical business requirements. - Develop predictive models, forecasting solutions, optimisation frameworks, and analytical algorithms to support commercial and marketing decision-making. - Apply statistical modelling, hypothesis testing, feature engineering, segmentation, and model validation techniques to generate meaningful insights. - Translate analytical findings into actionable recommendations through clear, data-driven storytelling and presentations. 2. Pharmaceutical Commercial Analytics - Deliver analytics solutions across pharmaceutical sales, commercial performance, brand performance, market intelligence, and forecasting. - Analyse prescription, claims, patient-level commercial, and other relevant pharmaceutical datasets to identify trends and business opportunities. - Develop solutions for sales force effectiveness, territory alignment, customer targeting, and segmentation. - Support commercial performance measurement, incentive compensation analytics, product launch analytics, and market share analysis. - Use pharmaceutical data sources such as IQVIA, Symphony Health, MMIT, Truven, and HealthJump, where relevant. - Collaborate with commercial, sales, market access, brand, and strategy teams to address business priorities through analytics. 3. Marketing Analytics and AI/ML - Design and deliver pharmaceutical marketing analytics solutions to measure campaign effectiveness and optimise marketing investments. - Develop and implement Marketing Mix Modelling (MMM/MMX), Multi-Touch Attribution (MTA), omnichannel analytics, and customer journey analytics solutions. - Build customer segmentation, physician analytics, recommendation engines, and Next Best Action (NBA) models. - Apply machine learning, predictive analytics, time-series forecasting, and natural language processing to solve commercial and marketing challenges. - Explore and implement Generative AI and large language model (LLM)-based applications for relevant pharmaceutical analytics use cases. - Identify opportunities to improve customer engagement, campaign performance, and commercial outcomes through data-driven strategies. 4. Technical Leadership and Best Practices - Lead, mentor, and develop a team of data scientists and analysts, fostering technical excellence and continuous learning. - Conduct technical solution reviews, code reviews, and mentoring sessions to maintain high standa