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.