AI ML

Job Description 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. We enable 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 transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description - Min Exp -8+years - Domain - Pharmaceutical must have - Location - Pan India Overview We are looking for a Deputy Manager/Group Manager in Advanced Analytics for the Lifesciences/Pharma domain. The person will lead a dynamic team focused on assisting clients in Marketing, Sales, and Operations through advanced data analytics. Proficiency in ML & DL Algorithms, NLP, Generative AI, Omni Channel Aalytics and Python/R/SAS is essential. Roles and Responsibilities summary: - Partner with the Clients Advanced Analytics team to identify, scope, and execute advanced analytics efforts that answer business questions, solve business needs, and add business value. Examples include estimating marketing channel effectiveness or estimating sales force sizing. - Maintain a broad understanding of pharmaceutical sales, marketing and operations and develop analytical solutions in these areas. - Stay current with respect to statistical/mathematical/informatics modeling methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected. - POC development for building internal capabilities and standardization of common modeling processes. - Lead & guide the team independently or with little support to implement & deliver complex project assignments. - Provide strategic leadership to the team by building new capabilities within the group and identifying business opportunities. - Provide thought leadership by contributing to whitepapers and articles at the BU and organization level. - Developing and delivering formal presentations to senior clients in both delivery and sales situations Additional Information: - Interpersonal communication skills for effective customer consultation - Teamwork and leadership skills - Self-management skills with a focus on results for timely and accurate completion of competing deliverables - Make the impossible possible in quest to make life better. - Bring Analytics to life by giving it zeal and making it applicable to business. - Know, learn, and keep up-to-date on the statistical and scientific advances to maximize your impact. - Bring an insatiable desire to learn, to innovate, and to challenge yourself for the benefit of patients. Technical Skills: - Proficient in Python or R for statistical and machine learning applications. - Expertise in a wide range of techniques, including Regression, Classification Decision Trees, Text Mining, Natural Language Processing, Bayesian Models, and more. - Build & train neural network architectures such as CNN, RNN, LSTMs, Transformers. - Experience in Omni Channel Analytics for predicting the Nest Best Action using the Advanced ML/DL/RL algorithms and Pharma CRM data - Hands-on experience in NLP & NLG, covering topic modeling, Q&A, chatbots, and document summarization. - Proficient in LLMs (e.g., GPT, Lang chain, llama index) and open-source LLMs - Cloud Platforms: Hands-on experience in Azure, AWS, GCP, with application development skills in Python, Docker, and Git. Good to have Skills: - Exposure to big data technologies such as Hadoop, Hive MapReduce etc. Qualifications Basic Qualifications: - .Tech / Masters in a quantitative discipline (e.g. Applied Mathematics, Computer Science, Bioinformatics, Statistics; Ops Research, Econometrics)