Data Scientist \u2013 Technical Services & Manufacturing Sciences

Data Scientist u2013 Technical Services & Manufacturing Sciences (TSMS)

Company Overview

Lilly, a leading innovation-driven corporation is developing a growing portfolio of pharmaceutical products by applying the latest research from its own worldwide laboratories and from collaborations with eminent scientific organizations.u00A0 Headquartered in Indianapolis, Indiana, Lilly makes life better u2013 through medicines and information u2013 for some of the worldu2019s most urgent medical needs.u00A0 Founded over 145 years ago, the company has sustained a culture that values excellence, integrity and respect for people. This has resulted in Lilly frequently being ranked as one of the best companies in the world at which to work.u00A0 Lilly knows its business has prospered because of its employees u2013 people with a talent for innovation and a passion for making a difference by finding treatments for the most stubborn diseases people whose talent is matched by their generosity, and people with strong values and a determination to prevail, regardless of the challenges.u00A0 Join our team u2013 and make a difference in improving health for people all over the world!

Manufacturing and Quality Technical Hub Hyderabad

Lilly has made a strategic investment of more than $1B dollars to establish a Manufacturing and Quality technical hub. This hub will oversee the significant investment in contract manufacturing of starting materials and intermediates for API manufacturing in India and the technical services responsible for managing the scientific agenda for manufacturing and quality. The hub will be recruiting top talent in the areas of process engineering, chemistry, analytical and data sciences to build a cutting-edge scientific organization supporting the exciting manufacturing portfolio of Lilly.

Role Overview:
The Data Scientist u2013 TSMS is responsible for delivering advanced analytics, predictive modelling, and digital innovation to support manufacturing and development processes across pharmaceutical operations. This role enables data-driven decision-making, process optimization, and compliance by partnering with global teams, site SMEs, and IT/digital functions. The Data Scientist manages analytics solution delivery, supports digital transformation, and ensures alignment with regulatory and business objectives.

Key Responsibilities:

• Build, validate, and maintain multivariate statistical models (e.g., PCA/PLS) for real-time process monitoring
• Lead development and deployment of predictive models and multivariate analytics for process monitoring, anomaly detection, and performance optimization
• Collaborate with cross-functional teams (manufacturing, R&D, quality, IT) to design and implement data-driven solutions
• Work with Information Technology teams at Lilly to deliver secure, scalable analytics products (dashboards, data products, model services) and manage project interdependencies
• Support integration and harmonization of data across PLM, MES, LIMS, ERP, and analytics platforms
• Ensure data quality, integrity, and compliance with GMP and regulatory standards
• Facilitate knowledge transfer, training, and adoption of analytics solutions across global teams
• Track and report analytics project progress, risks, and outcomes to leadership and stakeholders
• Partner with technical teams to resolve data gaps, inconsistencies, and support validation activities
• Leverage data visualization and reporting tools (Power BI, Tableau, Seeq) for actionable insights
• Identify and implement process improvements and automation opportunities for digital transformation
• Maintain documentation, best practices, and knowledge repositories for analytics solutions
• Monitor adoption KPIs, gather user feedback, and drive continuous improvement in analytics capabilities

Required Skills and Experience

Technical and Functional Skills:

• Proficient in statistical modeling, machine learning, coding languages, and predictive analytics (Python, R, SIMCA, JMP)
• Experienced in data integration, data quality assurance, and digital solution delivery
• Skilled in data visualization and reporting (Power BI, Tableau, Smartsheet)
• Knowledgeable in GMP, data integrity, and regulatory compliance.
• Experience working in Pharmaceutical manufacturing, Research & Development or other similar scientific environments
• Strong problem-solving, analytical, and detail-oriented mindset
• Effective communicator with experience working in global, cross-functional teams
• Ability to communicate complex insights to both technical and non-technical stakeholders
• Change-oriented and proactive in driving digital transformation
• Practical problem-solver who can work independently and within cross-functional teams skilled at stakeholder management and communication
• Familiarity with cloud analytics (Azure/AWS), data pipelines, and APIs experience with NLP for unstructured manufacturing knowledge is a plus

Education & Experience:

• Masteru2019s or Ph.D. in Data Science, Statistics, Engineering, Life Sciences, or related field
• 5+ years of experience in data science, analytics, or digital deployment in pharmaceutical or life sciences industry
• Experience in pharmaceutical GMP operations and TSMS or process development strong understanding of manufacturing unit operations and process monitoring concepts

Additional Information:

• 10 u2013 20% travel may be required
• Some off-shift work (night/weekend) may be required to support 24/7 operations across global supplier network

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form () for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lillyu00A0does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.