Data Scientist

At Elanco (NYSE: ELAN) – it all starts with animals!

As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets.

At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose – all to Go Beyond for Animals, Customers, Society and Our People.

At Elanco, we pride ourselves on fostering a diverse and inclusive work environment.

We believe that diversity is the driving force behind innovation, creativity, and overall business success.

Here, you’ll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights.

Making animals’ lives better makes life better – join our team today!

Your Role:

As a Data Scientist at Elanco, you will be a key driver of innovation and efficiency, using advanced analytics to solve complex challenges across our entire value chain.

Reporting to the Global Analytics & Governance team, you will partner with stakeholders in R&D, Manufacturing, and Commercial to uncover insights, build predictive models, and create data-driven solutions that directly impact animal health and business outcomes.

This role is for a curious and creative problem-solver who is passionate about turning data into tangible value.

This includes four strategic priorities:


* Pipeline Acceleration: Optimize the search and approval of high impact medicines with a focus on speed, cost and precision.


* Manufacturing Excellence: Improve the efficiency, quality and consistency of core manufacturing processes, specifically execution and equipment effectiveness.


* Sales Effectiveness: Simplify the process to find, trust and consume relevant customer insights that drive sales growth and improved engagement.


* Productivity: Expand operating margin through efficiency by systematically reducing our operating expenses across the company, improving profitability.

Your Responsibilities:


* End-to-End Model Development: Partner to design, develop, and validate statistical and machine learning models to address key business questions, from initial data exploration to final analysis.


* Analytical Thought Leader: Lead by example and inspire others, analyzing large, complex datasets to extract meaningful insights and solve business problems.

This includes elements of Operations Research, using data to optimize decisions and processes


* Cross-Functional Problem Solving: Collaborate directly with business units to translate their challenges into data science frameworks.

This could include: R&D: Accelerating drug discovery, target identification, clinical trial analysis, and drug repurposing.

Manufacturing: Optimizing supply chain logistics and improving production yields through predictive quality control and maintenance.

Commercial: Enhancing sales forecasting, pricing and pro...