Senior Data Scientist

Contract Type:

Contractor

Location:

London, London, England

Industry:

IT

Contact Name:

MarkJames Search

Contact Email:

jobs@markjamessearch.com

Contact Phone

01184670671

Published

18-Apr-2025

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.

Resposnibilities

  • 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 environmen

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.

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