Senior Data Scientist
Are you passionate about building cutting-edge AI solutions that make a real-world impact and help transform the way the pharmaceutical industry delivers life-saving therapies to patients?
As a Senior Data Scientist, you'll work alongside product, engineering, and domain experts to design, develop, and deploy innovative AI and machine learning solutions that solve complex business challenges. From Generative AI and LLMs to RAG, agentic systems, and knowledge graphs, you'll have the opportunity to work with the latest technologies while focusing on delivering meaningful outcomes.
What You'll Be Doing
🔹 Partner with product and engineering teams to identify opportunities to apply AI and ML across our products.
🔹 Research, prototype, and evaluate innovative AI/ML solutions for complex business problems.
🔹 Build production-grade machine learning services in collaboration with Engineering and DevOps teams.
🔹 Contribute to shared data science platforms and reusable data assets.
🔹 Stay at the forefront of AI advancements and share knowledge across the team.
🔹 Take ownership of major product releases from research through to deployment.
What We're Looking For
✔️ Graduate degree in Computer Science, Engineering, Statistics, or another STEM discipline (or equivalent practical experience)
✔️ 5+ years of experience developing AI/ML applications and data-driven solutions
✔️ Strong Python skills with experience using libraries such as Pandas, Scikit-learn, LangChain, and related tools
✔️ Experience working with Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG)
✔️ Strong understanding of modern AI techniques including Generative AI, NLP, and Deep Learning
✔️ Experience designing and deploying production-quality software
✔️ Excellent communication and stakeholder management skills
✔️ Experience mentoring junior team members
Nice to Have
➕ Experience building agentic AI systems
➕ Healthcare or pharmaceutical industry experience
➕ AWS experience (ECS, Bedrock, SageMaker, Serverless)
➕ Full-stack prototyping experience
➕ Experience using AI-assisted development tools and workflows