Overview

We are looking for a seasoned in Advanced Analytics for the Lifesciences/Pharma domain. The person will lead a energetic 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 solid 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

📌 Senior Data Scientist Analytics Manager Pharmaceutical domain (Gurugram)
🏢 Wns Global Services
📍 Gurugram