Join Our Team as a Deputy Manager/Group Manager in Advanced Analytics - Lifesciences/Pharma Domain

Company Description

WNS (Holdings) Limited (NYSE: WNS) is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. Our services empower businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and achieve operational excellence.

We deliver a comprehensive spectrum of BPM services in finance and accounting, procurement, customer interaction services, and human resources through collaborative models designed to meet the unique challenges of each client. We co-create and execute the future vision of over 400 clients with our 44,000+ employees.

Job Description

Overview

We are seeking an experienced Deputy Manager/Group Manager in Advanced Analytics for the Lifesciences/Pharma domain. This role involves leading a dynamic team to assist clients in Marketing, Sales, and Operations via advanced data analytics. Proficiency in ML & DL Algorithms, NLP, Generative AI, Omni Channel Analytics, and Python/R/SAS is essential.

Roles and Responsibilities

• Partner with clients’ Advanced Analytics teams to identify, scope, and execute efforts that answer business questions, solve business needs, and add business value, such as estimating marketing channel effectiveness or sales force sizing.
• Maintain a broad understanding of pharmaceutical sales, marketing, and operations, and develop analytical solutions for these areas.
• Stay current with statistical, mathematical, and informatics modeling methodologies to apply new and varied methods effectively.
• Develop POCs or R packages to build internal capabilities and standardize common modeling processes.
• Independently lead and guide the team to implement and deliver complex project assignments.
• Provide strategic leadership to the team by building new capabilities and identifying business opportunities.
• Contribute thought leadership through whitepapers and articles both at the BU and organization level.
• Deliver formal presentations to senior clients in delivery and sales situations.

Additional Information

• Strong interpersonal and communication skills for effective customer consultation.
• Excellent teamwork and leadership skills.
• Self-management skills with a focus on timely and accurate completion of competing deliverables.
• Bring innovation and passion to analytics, making it applicable to business challenges.
• Stay updated on statistical and scientific advances to maximize impact.
• Maintain an insatiable desire to learn, innovate, and challenge yourself for the benefit of patients.

Eligibility Criteria

Required Experience

• Minimum of 4-10 years of experience in data analytics.
• 2-4 years of relevant experience in the Healthcare/Lifesciences/Pharmaceutical domain is desired.

Technical Skills

• Proficient in Python or R for statistical and machine learning applications.
• Expertise in techniques such as Regression, Classification Decision Trees, Text Mining, Natural Language Processing, Bayesian Models, and more.
• Experience in building and training neural network architectures like CNN, RNN, LSTMs, and Transformers.
• Experience in Omni Channel Analytics for predicting the Next Best Action using Advanced ML/DL/RL algorithms and Pharma CRM data.
• Hands-on experience with NLP & NLG, including topic modeling, Q&A, chatbots, and document summarization.
• Proficient in LLMs (e.g., GPT, Lang chain, llama index) and open-source LLMs.
• Hands-on experience with cloud platforms such as Azure, AWS, GCP, and application development using Python, Docker, and Git.

Good to Have Skills

• Exposure to big data technologies like Hadoop, Hive, MapReduce, etc.

Qualifications

• B. Tech / Masters in a quantitative discipline (e.g., Applied Mathematics,