i2, a Harris Computer company, are seeking a highly 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 i2 Office in Cambridge, UK as and when there is a business need to do so.  Responsibilities  * 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. Requirements  * PhD or equivalent in Scientific or related engineering field * 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 About i2   Our intelligence analysis software tools help analysts transform data real-time enabling customers to better leverage data and to detect, disrupt and defeat sophisticated threats. Customers are better able to track critical missions across law enforcement, fraud and financial crime, military defense and national security. https://i2group.com       As a Harris Computer company, we strive to create a respectful and united environment where all members of our globally diverse community are empowered and have equitable opportunities to succeed.       Benefits   If you’re looking for a job with great benefits, Harris is the place to be! Harris offers an extremely competitive employee benefits program in the UK. In addition to the standard 25 days of leave and bank holidays, Harris employees are granted 5 Personal Days on top of that. Harris also offers an annual Lifestyle Reward of £325 to all UK employees. The program also includes Group Personal Pension, Life Assurance, Private Medical, and Dental. With Harris, you’ll have access to a wide range of benefits that will make your work life more enjoyable and fulfilling.   Supporting your application   Our recruitment process will comprise of interviews and, at times, a written exercise, an assessment day and/or a presentation. As an equal opportunities employer, we want to make sure we do all we can to make this a positive experience for you. When applying, please make us aware on your application of any adjustments or additional support we can provide you with before or on the day of an interview.