Senior Data Scientist

Are you interested in working with pioneers in the field of AI and data science? Are you interested in working with some of the worlds largest Pharmaceutical Companies?  If you are then read on for a role with a difference where you can join our inspiring team and make a big difference with a class-leading solution. We are a rapidly growing company producing ground-breaking products using the latestAIandLLM (Large Language Model) agentic technologies. Our innovative solutions are transforming the industry, and we are looking for passionate individuals to join us in our mission to revolutionise healthcare in a role with a difference.

Responsibilities

·      Develop and implement machine learning modelstailored to real-world business applications, ensuring accuracy, scalability, and efficiency. Apply advanced techniques for feature engineering, model optimisation, and evaluation.

·      Optimise AI and data workflows, focusing on large language models (LLMs) and agent-based systems.

·      Design AI agents for autonomous problem-solving, incorporating reinforcement learning, reasoning frameworks, and real-time decision-making to enhance operational efficiency.

·      Deploy and maintain production-ready AI solutions, integrating them seamlessly into business operations while adhering to best practices for monitoring, versioning, and lifecycle management.

·      Ensure data quality and implement validation processes, monitoring for drift, bias, and anomalies to maintain model integrity and reliability in production.

·      Create data visualisations and reportsto transform AI insights into actionable intelligence.

·      Mentor junior data scientists, guiding them on best practices and fostering a knowledge-sharing culture through code reviews and technical discussions.

·      Stay at the forefront of AI advancements, researching and experimenting with emerging methodologies to drive innovation and enhance business impact.

Qualifications

Required skills and experience

·      BSc/MSc in Computer Science, Engineering, Data Science, Mathematics, or a related field.

·      3+ years of experience delivering AI/ML solutions in production environments.

·      Proficient in Python and key data science libraries (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).

·      Hands-on expertise with LLMs and agentic workflows (fine-tuning, prompt engineering, retrieval-augmented generation).

·      Strong grasp of the AI/ML lifecycle, from research to scalable deployment and monitoring.

·      Experience in model evaluation, bias mitigation, and optimising for performance and cost-efficiency.

·      Agile and adaptable, comfortable with rapid iteration and integrating feedback.

·      Excellent communication skills, able to convey technical insights to non-technical stakeholders.

Preferred skills and experience

·      Experience with DevOps tools (Git, CI/CD, Docker) and MLOps best practices.

·      Proficiency in data pipeline orchestration and model deployment workflows.

·      Expertise in A/B testing and experimental design.

·      Domain knowledge in the pharmaceutical industry would be a plus.

·      An open, growth mindset and proven collaborative skills.

About Circuit Medical

Circuit Medical is a well-established, research-driven global consultancy that specialises in delivering comprehensive services to maximise the value of medical affairs and other functions to the biopharmaceutical industry. We proudly support leading global pharmaceutical companies such as AstraZeneca, Roche, Takeda, and many others. As we expand our digital offerings, we are building a suite of products aimed at enhancing quality, efficiency and performance for our clients and ultimately help patient care. Circuit Medical excel by being different, curious, innovative, taking calculated risks, collaborative, communicative, all for the greater good an always delivering to a high quality. 

Circuit Medical welcomes everyone and create inclusive teams where we celebrate different backgrounds, experiences, and perspectives. We encourage colleagues to bring their whole selves to work. We provide equal employment opportunities to applicants and employees without regard to race, colour, religion, age, sex, sexual orientation, gender identity, national origin, or disability. We promote a culture of trust, support, and acceptance.