We are seeking an experienced Senior Data Scientist to lead our analytics research team and provide additional input more generally across the business.

The ideal candidate will possess expertise in predictive modelling, machine learning, statistical inference, and computational methods, with a strong focus on developing computational models for optimising analytics. If you are passionate about creating efficient and scalable solutions, and are eager to collaborate within a fast-paced environment, we encourage you to apply.

This permanent position will be performed on a remote basis with an occasional requirement to visit the Office in Cambridge, UK as and when there is a business need to do so.

The Role

In performing this position, your core duties and responsibilities will include (but will not be limited to):

• Collaborate with cross-functional teams to develop new analytics and algorithms for various applications across diverse customer requirements
• Develop and apply advanced data analysis techniques, including simulations, probabilistic programming, and machine learning algorithms, to analyse complex datasets in wide variety of customer use cases related to the intelligence cycle
• Design and implement computational models to anomaly detection, pattern of life and signature comparison, leveraging expertise in statistical methods, cloud computing, and high-performance computing
• Develop and maintain expertise in programming languages such as Python and other tools relevant to data science, machine learning and AI research
• Communicate research results through software demonstrations, publications, presentations, and seminars, demonstrating ability to communicate complex findings into user language and understanding
• Mentor junior researchers in all research projects, providing guidance on data analysis, computational methods, and statistical inference.
• Participate in the development of data-driven products and solutions from conception to deployment

What we are looking for

· PhD or equivalent in Scientific or related engineering field (ideal)

· 5+ years of experience in data science, machine learning, and statistical inference

· Proven track record of publishing research papers in top-tier scientific journals, with a focus on results

· Strong expertise in computational methods, including Monte Carlo simulations, numerical optimisation, and cloud computing

· Excellent communication and collaboration skills, with ability to work effectively with diverse stakeholders

· Experience with programming languages, data analysis tools, and visualisation software

Nice to Have

· Experience with Python or other high-level programming languages

· Familiarity with machine learning frameworks such as PyTorch or TensorFlow

· Knowledge of statistical inference methods, including Bayesian inference and hypothesis testing

· Experience with computational geometry, network science, graph databases or other areas relevant to research