DM - Data Science (Pharma AnalyticOverview We are looking for a seasoned Deputy Manager/Group Manager in Advanced Analytics for the Lifesciences/Pharma domain. The person will lead a dynamic team focused on delivering AI-driven analytics solutions across

Overview

We are looking for a seasoned in Advanced Analytics for the Lifesciences/Pharma domain. The person will lead a dynamic team focused on delivering AI-driven analytics solutions across Marketing, Sales, Medical and Commercial Operations. Proficiency in Machine Learning, Deep Learning, NLP, Generative AI, Large Language Models (LLMs), Commercial and Omnichannel Analytics and Python/PySpark is essential.

Roles and Responsibilities

• Partner with client Advanced Analytics teams to identify, scope and deliver analytics and AI solutions that solve business problems and generate measurable business value.
• Deliver projects across marketing mix modelling, promotion effectiveness, ROI analysis, portfolio analytics, segmentation & targeting, omnichannel analytics, Next Best Action (NBA), forecasting, resource optimization and other commercial analytics engagements.
• Develop analytical and AI solutions supporting pharmaceutical sales, marketing and commercial operations.
• Stay current with statistical, machine learning, deep learning and Generative AI methodologies to recommend the most appropriate analytical approaches.
• Develop AI/GenAI Proof of Concepts (POCs), reusable accelerators and standardized analytics frameworks.
• Lead multiple projects independently while managing small teams of Analysts/Senior Analysts to deliver high-quality solutions.
• Ensure timely delivery with strong focus on quality, client satisfaction and agreed SLAs.
• Drive structured project execution through effective planning, documentation and stakeholder communication.
• Explore emerging AI, GenAI and advanced analytics techniques to enhance business decision-making.
• Drive automation using reusable code, AI-assisted workflows and scalable analytics solutions.
• Maintain knowledge repositories, reusable assets, SOPs and quality frameworks to improve delivery efficiency.
• Build new analytical capabilities, identify business opportunities and support organizational growth.
• Contribute to whitepapers, capability building, internal assets and thought leadership initiatives.
• Develop and deliver presentations and recommendations to senior client stakeholders during delivery and business development.
• Support recruitment, onboarding, mentoring and knowledge-sharing initiatives across the team.
• Ensure compliance with organizational processes, governance and quality standards.

Additional Information

• Strong interpersonal and client communication skills.
• Excellent leadership, collaboration and stakeholder management abilities.
• Strong analytical thinking and problem-solving mindset.
• Storyboarding and storytelling skills to translate analytics into business insights.
• Ability to manage multiple priorities in a matrix organization.
• Passion for continuous learning, innovation and adoption of emerging AI technologies.
• Strong commitment to quality, ownership and customer success.

Eligibility Criteria

Required Experience

• 4–10 years of experience in Advanced Analytics, Data Science or AI.
• 2–4 years of experience in Healthcare, Lifesciences or Pharmaceutical Analytics is preferred.
• Strong quantitative, analytical and problem-solving skills.
• Ability to quickly understand new datasets and translate them into business insights.
• Experience working with global teams and cross-functional stakeholders is desirable.
• Proven ability to deliver measurable business impact through analytics and AI.

Technical Skills

• Proficient in Python, PySpark or R for machine learning and statistical modeling with exposure to SQL; SAS or Alteryx is an added advantage.
• Expertise in Regression, Classification, Clustering, Bayesian Models, Time Series, NLP, Feature Engineering, Recommendation Systems and Generative AI techniques.
• Experience building and deploying Deep Learning models including CNN, RNN, LSTM and Transformer architectures.
• Experience in Omnichannel Analytics including Marketing Mix Modelling, Next Best Action, customer segmentation, campaign optimization and Pharma CRM analytics.
• Hands-on experience with NLP, semantic search, chatbots, document summarization, question answering and information extraction.
• Proficient in GPT, Claude, Gemini, Llama, LangChain, LlamaIndex, Prompt Engineering and Retrieval-Augmented Generation (RAG).
• Hands-on experience with Azure, AWS or GCP along with Python, Docker, Git and deployment of scalable AI applications.
• Experience with visualization tools such as Tableau, Power BI or Qlik.
• Strong project management, documentation and presentation skills.
• Pharmaceutical commercial analytics knowledge is highly desirable.

Good to Have Skills

• Exposure to Databricks, Spark, Hadoop, Hive, Feature Stores, Vector Databases, MLOps/LLMOps and Responsible AI practices.
• Knowledge of optimization techniques, stochastic models, Markov Chains and Multi-Touch Attribution.

Basic Qualifications

• B.Tech/Masters (or equivalent) in Computer Science, Statistics, Applied Mathematics, Data Science, Bioinformatics, Operations Research, Econometrics, Economics or related quantitative discipline.
• Excellent written and verbal communication skills in English.

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