Data Science - AI ML

Job Description 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.