Data Scientist

Elanco Animal Health Incorporated; Hook; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading global animal health company in Hook, UK, seeks a Data Scientist to drive innovation using advanced analytics. The ideal candidate will develop predictive models and deliver data-driven solutions across the value chain, collaborating with multiple stakeholders. Required qualifications include strong programming skills, a Master's or PhD in a quantitative field, and experience in machine learning and statistical analysis. This role offers a hybrid work environment with a focus on contributing to animal health outcomes.

Qualifications

• Strong programming skills in Python or R.
• Deep understanding of statistical principles.
• Proven experience applying machine learning techniques.

Responsibilities

• Design and validate statistical and machine learning models.
• Analyze large datasets to extract meaningful insights.
• Collaborate on predictive quality control and maintenance.

Skills

Data manipulation

Machine learning techniques

Statistical analysis

Data visualization

Problem-solving

Education

Master's or PhD in a quantitative field

Tools

Python

R

SQL

Microsoft Azure

Google Cloud Platform

Job description

Overview

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.

Elanco fosters a diverse and inclusive work environment. We believe diversity drives innovation, creativity, and success. Here, you\'ll be part of a company that values new ways of thinking, works with dynamic individuals, and provides opportunities to acquire new skills and experiences that will propel your career.

Making animals\' lives better makes life better - join our team today!

Driven by the quickening pace of innovation, Animal Health is on the verge of a revolution, powered by digital business models, technology and data.

Partnering with Elanco IT, the Global Analytics & Governance team acts as a catalyst for change, identifying and delivering transformative solutions to solve our biggest business problems.

This includes four strategic priorities.

Pipeline Acceleration: Optimise 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 operating expenses across the company, improving profitability.

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.

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, analysing 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: Optimising supply chain logistics and improving production yields through predictive quality control and maintenance.
• Commercial: Enhancing sales forecasting, pricing and promotions optimization, personalizing marketing campaigns, understanding customer behaviour, and surfacing data insights via large language models.
• Generate Actionable Insights: Go beyond model building to interpret results, synthesize findings, and communicate actionable recommendations to stakeholders at all levels.
• Data Storytelling: Use data visualization and clear communication to present complex analytical findings in a compelling and understandable narrative.
• Collaborate on Deployment: Partner with Data, AI and ML Engineers to ensure that your models are successfully integrated into business processes and applications.
• Drive Innovation: Continuously research and apply new methodologies in machine learning, statistics, and AI to keep Elanco at the forefront of data science.
• Champion a Data-Driven Culture: Promote a data-driven culture within Elanco by educating and mentoring colleagues on data science principles and best practices.

What You Need to Succeed (minimum qualifications)

• Educational Background: A Master\'s or PhD in a quantitative field such as Data Science, Statistics, Computer Science, Operations Research, or a related discipline.
• Programming Proficiency: Strong programming skills in Python or R, with expertise in data manipulation and machine learning libraries.
• Statistical Rigor: A deep understanding of statistical principles and experimental design, including hypothesis testing, regression, and classification.
• Machine Learning Experience: Proven experience applying a range of machine learning techniques (e.g., gradient boosting, clustering, NLP, time-series forecasting) to real-world problems.
• Data Visualisation and Communication: Expertise in using visualisation tools to create compelling stories and the ability to explain complex topics to a non-technical audience.
• Business Acumen: A strong ability to grasp business challenges quickly and a passion for connecting data-driven insights to strategic goals. Experience in pharma, manufacturing, or commercial analytics is a major plus.
• Industry Experience: A deep understanding of life science, covering the business model, regulatory/compliance requirements, risks and rewards. Ability to identify and execute opportunities within data science that support life science outcomes.
• Database Skills: Proficiency in SQL for querying and extracting data from relational databases.
• Cloud Environment Familiarity: Experience with Public Cloud, specifically Microsoft Azure and Google Cloud Platform (GCP) and their data/analytics services is highly desirable.

Additional Information

• Travel: 0-10%
• Location: Hook, UK - Hybrid Work Environment

Elanco is an EEO/Affirmative Action Employer and 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.