Data Scientist

Our dedicated Data Science team is at the forefront of revolutionizing pharma intelligence and how patients gain access to life-saving therapies. Armed with cutting-edge technology and a passion for innovation, we leverage the vast landscape of data to extract actionable insights that drive informed decision making Our unique collaborative approach fosters a dynamic synergy between data science, product development, pharmaceutical industry experts, and engineering.

Our deep expertise in artificial intelligence, machine learning, and advanced statistical modelling, combined with our domain knowledge, enables us to deliver comprehensive solutions that empower our clients to stay ahead in a rapidly evolving industry. We have delivered multiple products live to customers, with many more in development. Requirements:
Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience 5 years of experience developing AI / ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, Lang Chain, etc.

Experience with LLMs, e.g. foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state-of-the-art AI / ML techniques such as Generative AI, NLP, Deep Learning, etc. Understanding of CS fundamentals, computational complexity, and algorithm design Ability to engineer and deploy well-architected software packages Strong communication and stakeholder management skills, ability to independently own and execute a project holistically at a high level Experience mentoring junior team members Preferred Requirements:
Deep expertise in engineering agentic AI systems Knowledge of the healthcare / pharma domain and experience applying AI to healthcare data

Experience with AWS, especially ECS, Bedrock, Sage Maker, serverless compute and storage Ability to prototype PoC webapps with familiarity across the full stack Expert usage of AI coding tools and workflows