Data Science AI ML

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

• 410 years of experience in Advanced Analytics Data Science or AI.
• 24 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

• (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.

Qualifications :

Graduate

Remote Work :

No

Employment Type :

Full-time