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

Data Scientist / Senior Data Scientist / Solution Engineer - SC Cleared12-Month Contract - London, Waterloo | HybridAbout the RoleWe 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 ResponsibilitiesDesign, 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 ForTo 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.