Senior Data Scientist at Applied AI pioneer and Gartner 'Visionary' in Decision Intelligence

Lead the development of 'Computational Twins'—AI-driven digital replicas of complex organizational systems for healthcare and life sciences. You will move beyond isolated modeling to design production-ready systems that simulate real-world scenarios, helping global enterprises optimize critical processes. This senior role balances high-level technical architecture with hands-on delivery and mentorship in a PhD-heavy culture.

• Design and build computational twins tailored for unique frontier deployments in healthcare and life sciences, ensuring every technical solution delivers measurable real-world value.
• Lead data science efforts within cross-functional teams, partnering with engineers and commercial leads to translate complex customer problems into actionable AI strategies.
• Mentor and develop junior data scientists through technical leadership and line management, fostering a culture of scientific rigor and technical excellence.

• You have 4+ years of professional experience in data science or quantitative research with a strong foundation in statistics, mathematics, and supervised learning.
• You are highly proficient in Python, NumPy, and Pandas, with hands-on experience using deep-learning frameworks like TensorFlow or PyTorch for production-grade solutions.
• You possess a leadership mindset and excellent communication skills, capable of persuasively presenting complex technical findings to senior stakeholders and commercial partners.

• Work at the forefront of Decision Intelligence, building tools that helped the NHS manage resource allocation during the pandemic with unprecedented accuracy.
• Join a prestigious, PhD-heavy team of AI experts with the stability of a global parent company (Accenture) and the fast-paced culture of a London-based innovator.
• Benefit from exceptional perks including an unlimited annual leave policy, private healthcare, and dedicated mental health coaching through Sanctus.