Lead Consultant - Data Scientist

Eli Lilly

Bangalore, Karnataka
Permanent
Full-time

1 month ago

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.Eli Lilly Services India Pvt LtdBusiness Insights and Analytics: Data Science LeadAt Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our 39,000 employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease. We’re looking for people who are determined to make life better for people around the world.The LCCI (Lilly Capability Center India), BI&A (Business Insights & Analytics) team was started in 2017 with the objective of supporting business decisions for the commercial and marketing functions in the US and ex-US affiliates. This team is part of the LCCI - Commercial Services organization and works very closely with business analytics team based in Indianapolis (HQ). The team currently comprises of more than 100 staff members, with varied backgrounds and skills across data management, analytics and data sciences, business and commercial operations etc.To better meet the evolving analytics needs, the LCCI BI&A team is ramping up the data sciences pillar. We are looking for a techno-functional leader to provide thought leadership to a team of talented data scientists, ML engineers and data engineers who can help expand the capabilities and drive global initiatives.Core Responsibilities:

Ownership of Project Delivery

o Serve as trusted advisor by actively participating in various phases of the projects (including kick-off, methodology development, execution, insight generation and data visualizations)o Effectively communicate with stakeholders to present the final outcomes and provide recommendations as neededo Build and exhibit deep expertise on statistical/AI/ML techniques combined with strong knowledge of the commercial pharma business and the problems that are being solved by data and analytics

Project Management and leadership

o Set up processes to ensure continuous high-quality delivery by the team, including but not limited to implementing best project management practices (agile/ scrum as needed)o Support a team of highly talented professionals (data scientists, ML Ops); and implement upskilling plans as required for business need, working in close collaboration with the people leadero Serve as a advisor/ coach, work with functional leadership and HR to identify career opportunities for data science team members, both systemically (career path development) and with individuals (as needed)o Coach/ Mentor and develop a pipeline of data science talent, and contribute to an inclusive community of analytics expert practitioners

Strategic growth and thought leadership

o Strategize on key opportunities/ whitespaces, drive discussions and expand outcomes from LCCI for data science driven business solutionso Integrate working model for analytics capabilities across BI&A teams, and where possible, across other LCCI teams to drive better cross-team resourcing, cross-pollination of best practices and expansion of LCCI capabilitieso Interface with the IDS (Lilly IT) and other groups within Lilly commercial ecosystem to pull through innovations and best practices that accelerate capability builds and technology adoption, while managing delivery expectationso Network with industry experts and external consultants as needed to develop, test, and implement new approaches and solutions for analytics capabilities at LCCIExperience Required

12-18 years of relevant work experience with demonstrated experience of working as data scientist/ managing complex projects and cross-functional teams
Strong foundational understanding in applied statistics
Extensive experience working on the areas of machine learning and artificial intelligence, deep learning, natural language processing and other approaches to structured/unstructured data, advanced predictive modeling, visual analytics etc.
Significant coding experience in R and/or Python
Strong analytical and problem-solving skills to be able to structure and solve open ended business problems (pharma experience is highly preferred)
Experience with practical implementation of emerging AI and ML research concepts highly preferred

Education

Master’s/ Ph.D. degree in technology, statistics/mathematics, econometrics, operations research or computer science

Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively “Lilly”) are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( Lilly_Recruiting_Compliance@lists.lilly.com ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. Any other correspondence will not receive a response.Lilly does 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.#WeAreLilly

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