Data Scientist / Senior Data Scientist / Solution Engineer (12-Month Contract)

Data Scientist / Senior Data Scientist / Solution Engineer - SC Cleared 12-Month Contract - London, Waterloo | Hybrid About the Role We are looking for a highly skilled Data Scientist, Senior Data Scientist, or Solution Engineer for a 12-month contract based in Waterloo, London. This role sits at the intersection of advanced machine learning and robust software engineering, focusing on deploying industrial-grade applications (such as fraud detection and predictive maintenance) across key sectors for an Enterprise AI client. Key Responsibilities * Design, build, and deploy scalable machine learning algorithms and software solutions. * Analyse, cleanse, and normalise complex time-series data and dynamical systems. * Integrate ML models into production using cloud platforms and modern JavaScript frameworks. * Collaborate within an Agile environment to deliver robust data structures and algorithms. What We Are Looking For To be successful in this role, you will need a blend of the following engineering and data science capabilities: * Core Development: Proficiency in Python, JavaScript, and Java, alongside modern frameworks (React, Redux, Vue, or Angular). * Data Science \& ML: Solid understanding of common ML techniques, trade-offs, and scalable ML architecture (MapReduce, streaming). * Data Expertise: Experience with time-series data, dynamical systems, and both SQL and NoSQL databases. * Cloud \& DevOps: Proven experience deploying software to AWS, GCP, or Azure, utilizing Git for version control. * Industry Experience: Domain expertise in sectors such as Financial Services, Aerospace, Industrial Manufacturing, Healthcare, or Supply Chain is highly desirable. * Evidence of Capability: A strong portfolio of past projects (GitHub, published papers, etc.). If you are a hybrid engineer/scientist who thrives on deploying real-world solutions, please apply with your CV and a link to your GitHub or portfolio.