Data Science Analyst

Job Description Role Overview: You will be responsible for driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions in the healthcare and life sciences sector. Key Responsibilities: - Provide data-driven recommendations to clients that enhance business outcomes. - Independently manage communications with clients to ensure clear understanding of project objectives and progress updates. - Design and implement GenAI, RAG, Agentic AI, or traditional AI/ML algorithms tailored to address specific business challenges. - Demonstrate expertise in life sciences datasets to develop robust analytics solutions. - Collaborate with cross-functional teams and leverage skills in data engineering, data science, and business intelligence tools. - Apply design thinking principles and business process optimization to recommend and implement innovative solutions. - Engage in ongoing learning to develop consulting acumen, industry knowledge, and technical capabilities. Qualifications Required: - Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. - Extensive expertise in GenAI with a track record of creating and deploying GenAI and Agentic AI solutions. - Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. - Excellent understanding of Pharma data sets commercial, clinical, RWE (Real World Evidence) & EMR (Electronic medical records). - Handson experience with handling datasets like Komodo, RAVE, IQVIA, Truven, Optum etc. - Proficiency in programming languages such as Python, SQL, Spark, etc. - Ability to work with large data sets and present findings/insights to key stakeholders. - Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. - Experience with any of the data visualization tools like Tableau, Power BI, Qlikview, Spotfire is good to have. - Excellent analytical and problemsolving skills, with a datadriven mindset. - Proficient in Excel, MS Word, PowerPoint, etc. - Strong communication, interpersonal, and presentation skills. Company Details (Omitted): Opportunity to work on innovative projects and opportunities for career growth and leadership exposure. (Note: Company details have been omitted as they were not included in the Job Description) Role Overview: You will be responsible for driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions in the healthcare and life sciences sector. Key Responsibilities: - Provide data-driven recommendations to clients that enhance business outcomes. - Independently manage communications with clients to ensure clear understanding of project objectives and progress updates. - Design and implement GenAI, RAG, Agentic AI, or traditional AI/ML algorithms tailored to address specific business challenges. - Demonstrate expertise in life sciences datasets to develop robust analytics solutions. - Collaborate with cross-functional teams and leverage skills in data engineering, data science, and business intelligence tools. - Apply design thinking principles and business process optimization to recommend and implement innovative solutions. - Engage in ongoing learning to develop consulting acumen, industry knowledge, and technical capabilities. Qualifications Required: - Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. - Extensive expertise in GenAI with a track record of creating and deploying GenAI and Agentic AI solutions. - Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. - Excellent understanding of Pharma data sets commercial, clinical, RWE (Real World Evidence) & EMR (Electronic medical records). - Handson experience with handling datasets like Komodo, RAVE, IQVIA, Truven, Optum etc. - Proficiency in programming languages such as Python, SQL, Spark, etc. - Ability to work with large data sets and present findings/insights to key stakeholders. - Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. - Experience with any of the data visualization tools like Tableau, Power BI, Qlikview, Spotfire is good to have. - Excellent analytical and problemsolving skills, with a datadriven mindset. - Proficient in Excel, MS Word, PowerPoint, etc. - Strong communication, interpersonal, and presentation skills. Company Details (Omitted): Opportunity to work on innovative projects and opportunities for career growth and leadership exposure. (Note: Company details have been omitted as they were not included in the Job Description)