Senior Data Scientist

Job Title: Senior Data Scientist Location: Stratford, London (Hybrid, -3 days per week onsite) Contract Length: 6 months Rate: £400–£500 per day (Inside IR35) Industry: Financial Services Are you passionate about bridging the gap between machine learning and software engineering? We're looking for a Full-Stack Data Scientist to join our clients innovative team in Stratford, London , where you'll play a pivotal role in delivering scalable, production-ready AI/ML solutions. Responsibilities Collaborate across Data Science and DevOps to turn experimental ML models into deployed applications. Package and deploy ML models (including Hugging Face Transformers) as microservices on AWS. Build, train, and evaluate models using AWS tools like SageMaker, Bedrock, Glue, Athena, and Redshift. Develop secure APIs with Apigee and build automation pipelines using Jenkins, Maven, and more. Support the full ML lifecycle including monitoring, governance, and reproducibility. Requirements Degree (or equivalent experience) in Computer Science, Data Science, Mathematics, or a technical field. Proficiency in Python (or R), with hands-on experience in ML and statistical modeling. End-to-end experience with MLOps , from experimentation to deployment and monitoring. Strong grasp of ethical AI practices: model explainability, transparency, bias mitigation. Hands-on with AWS services (SageMaker, Glue, Redshift, Bedrock, Lambda, Fargate). Skilled in deploying and hosting microservices/APIs with Flask or FastAPI. Proficient in SQL, Git, Jupyter/RStudio, and CI/CD integrations. Excellent communication skills and ability to engage with non-technical stakeholders. Strong problem-solving ability and a product-first mindset. Enthusiastic about learning, adapting to new tools, and collaborating in a dynamic environment Tech Stack Languages & Frameworks: Python, R, SQL, Flask, FastAPI Tools: Hugging Face, Apigee, Jenkins, Git, RStudio, Jupyter Cloud: AWS (SageMaker, Glue, Athena, Redshift, Bedrock, ECS Fargate, Lambda) Please apply online for consideration.