Applied AI Data Scientist – GenAI & Intelligent Automation
Role Introduction
At Alcon, we are driven by the meaningful work we do to help people see brilliantly. As a global leader in eye care, we innovate boldly, act with speed, and foster an inclusive culture where talent thrives.
As an Applied AI Data Scientist, you will focus on applying Generative AI and machine learning techniques to solve real business problems across Commercial Operations. This role is centered on building practical AI solutions — from intelligent automation to decision-support tools — working closely with business stakeholders and engineering teams.
You will operate at the intersection of data science and applied AI, with an emphasis on LLM-based solutions, automation, and real-world implementation, rather than pure research or infrastructure ownership.
What You’ll Do at Alcon
- Translate business needs into AI-driven solutions, including automation and decision-support tools
- Design and develop LLM-based applications, such as copilots, workflow automation, or internal AI tools
- Apply machine learning and AI techniques to improve reporting, forecasting, and operational efficiency
- Experiment with and evaluate Generative AI approaches (prompting, embeddings, structured outputs)
- Collaborate with engineering teams to deploy AI solutions into production environments
- Monitor performance, iterate on solutions, and improve reliability over time
- Communicate AI capabilities, limitations, and trade-offs to non-technical stakeholders
WHAT YOU'LL BRING TO ALCON:
Education
- Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Statistics, or related field
Experience
- 3+ years of experience in Data Science, Machine Learning, or Applied AI roles
- Hands-on experience working with Generative AI or LLM-based use cases (academic, personal, or professional projects acceptable if practical)
- Experience developing data-driven or AI solutions in business environments
- Exposure to deploying models or working with production-ready solutions
Technical Skills
- Strong proficiency in Python and SQL
- Experience with machine learning techniques and model development
- Exposure to Generative AI tools and frameworks (e.g., OpenAI APIs, LangChain, similar ecosystems)
- Familiarity with:
- Prompt design and iteration
- Embeddings and retrieval-based approaches
- Evaluating outputs of AI systems
- Experience working with cloud platforms (AWS preferred)
- Understanding of data pipelines and working with structured/unstructured data
Soft Skills
- Ability to explain AI concepts clearly to non-technical audiences
- Strong problem-solving mindset and curiosity for new technologies
- Comfortable working in ambiguous, evolving environments
- Collaborative approach and openness to feedback
- Ownership mindset with interest in growing technical impact
WHAT YOU'LL GET AT ALCON:
- Opportunity to work on real-world Generative AI use cases in a global organization
- Exposure to building AI-driven tools that directly impact business decisions
- A collaborative, no-micromanagement environment with strong stakeholder visibility
- Growth into broader AI capabilities and future technical leadership opportunities
WHY JOIN US?
You’ll play a critical role in ensuring data accuracy and building scalable solutions that drive strategic decision across the Americas region. This is an opportunity to influence processes, improve operational efficiency, and contribute to a culture of data excellence.
Alcon Careers
See your impact at http://alcon.com/careers
ATTENTION: Current Alcon Employee/Contingent Worker
If you are currently an active employee/contingent worker at Alcon, please click the appropriate link below to apply on the Internal Career site.
Find Jobs for Employees
Find Jobs for Contingent Worker
Alcon is an Equal Opportunity Employer and takes pride in maintaining a diverse environment and our policies are not to discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital or veteran status, disability, or any other legally protected status.
