Specialist - Data Sciences

Job Title: Specialist - Data Sciences Company: LTM Job Category: Data Science Roles & Responsibilities: Role description This role will be responsible for translating analytics and generating insights from data with high level of autonomy Individual is expected to have strong technical expertise in data science and analytics space generating insights from data and providing solutions to the business as needed Principal Responsibilities Execute clinical and operation advanced analytics that facilitates gaining deep insight to clinical and operation data for relevant business partners in Global Development GD and clinical therapeutic areas Develop novel data science methodologies to generate deep insights from disparate data sources Develop machine learning methodologies both supervised and unsupervised as appropriate to the business problem Develop and apply statistical modeling methodologies including predictive and exploratory approaches to generate insights and support evidencebased decision making Understand legacy R pipelines help refactor and develop scalable and robust code in R or Python in support of data science projects Ensure the life cycle management of the models is maintained through code repositories and version control tools Establishing an internal and external benchmarking network facilitating the distillation of best data integration and analytics practice from leading organization externally while also identifying best practice from internal teams within JJ Design evaluate and implement Generative AI solutions leveraging large language models LLMs embeddings vector databases RetrievalAugmented Generation RAG and agentic workflows to solve clinical and operational business problems Partner with Global Clinical Development business stakeholders SMEs and technology teams to identify opportunities where statistical analytics machine learning and GenAI can create value A proven record in shaping and delivering key programs that optimized performance and delivered project support in matrix environments is required Familiarity of best practices in machine learning model development validation and deployment Solid understanding of life cycle management of the code and code repositories Work Location: Bengaluru, Karnataka, India Availability: Full time

Education and Experience Requirements Individual should have a minimum of 2 years with relevant masters or Bachelors degree in data science statistics Informatics operations research computer science engineering or information systems or a related discipline OR A minimum of 1 years with a PhD degree in data science statistics Informatics operations research computer science engineering or information systems is required Other Relevant Experiences and Skills Proven ability to translate and influence business requirements against existing analytics and data integration capabilities whilst identifying capabilities challenges and necessary solutions to ensure realistic goal setting for future analytics modelling Experience in advanced analytics processes including gaining insight from structured and unstructured data predictive modelling and optimization and associated systemsdatabase infrastructure Experience applying and evaluating Generative AI technologies including LLMs prompt engineering embeddings vector databases RetrievalAugmented Generation RAG and multimodal AI systems High proficiency in one of the programming languages R and statistical pipelines Familiarity with evaluation and benchmarking methodologies for machine learning and GenAI solutions including model validation performance assessment and AI governance principles Extensive experience with data wrangling data preprocessing and data engineering techniques on large datasets Key Skills: Data Science, Python, SQL, Statistics, Machine Learning Salary: Not disclosed