SonicJobs Logo
Login
Left arrow iconBack to search

Data Science Practitioner

Randstad Technologies Recruitment
Posted 17 hours ago, valid for 11 days
Location

London, Greater London SW1A2DX, England

Salary

£250 - £375 per day

Contract type

Full Time

By applying, a CV-Library account will be created for you. CV-Library's Terms & Conditions and Privacy Policy will apply.

SonicJobs' Terms & Conditions and Privacy Policy also apply.

Sonic Summary

info
  • We are seeking a senior Data Science Practitioner to lead the design and delivery of AI/ML-based decision-making frameworks.
  • The role requires advanced mastery in Data Science and Machine Learning, along with at least 5 years of relevant experience.
  • You will mentor a high-performing team and collaborate with software engineering and product teams to integrate models into existing workflows.
  • Familiarity with Retrieval-Augmented Generation (RAG) and Model Context Protocol (MCP) is essential, as well as intermediate proficiency in Amazon SageMaker.
  • The salary for this position is competitive and commensurate with experience.

We are looking for a senior Data Science Practitioner to lead the charge in designing and delivering AI/ML-based decision-making frameworks. You won't just build models; you will be the architect of business outcomes, translating complex data into measurable value.
As a subject matter expert, you will mentor a high-performing team, manage cross-functional integrations, and stay at the bleeding edge of AI (RAG, MCP, and SageMaker) to keep our projects ahead of the curve.

What You'll Do

  • Architect Decision Systems: Design innovative AI/ML models that don't just predict-they drive strategic business decisions.
  • Lead & Mentor: Act as the technical North Star for the team, making key decisions and guiding junior scientists in best practices.
  • Bridge the Gap: Collaborate with software engineering and product teams to integrate models into the SDLC and existing workflows.
  • Measure Impact: Define and justify the ROI of AI solutions to stakeholders through rigorous evaluation frameworks.

Your Technical Toolkit

  • Advanced Mastery: Data Science & Machine Learning.
  • Cloud Expertise: Intermediate+ proficiency in Amazon SageMaker.
  • Modern AI: Familiarity with Retrieval-Augmented Generation (RAG) and Model Context Protocol (MCP).
  • Engineering Rigor: Solid understanding of the Software Development Life Cycle (SDLC).


Please let me know if you would be interested

Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Apply now in a few quick clicks

By applying, a CV-Library account will be created for you. CV-Library's Terms & Conditions and Privacy Policy will apply.

SonicJobs' Terms & Conditions and Privacy Policy also apply.