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Data Scientist

Job in Manchester, Greater Manchester, M9, England, UK
Listing for: DCV Technologies
Full Time position
Listed on 2026-10-12
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 65000 - 90000 GBP Yearly GBP 65000.00 90000.00 YEAR
Job Description & How to Apply Below

Data Scientist - Contract | GCP | AI/ML | LLM | RAG

Job Type: Contract

Introduction

We are recruiting for a Data Scientist to join a technology-focused delivery environment, supporting the development, evaluation and implementation of AI, machine learning and cloud-based application solutions.

Key Responsibilities
  • Develop and evaluate AI and machine learning solutions, including classical ML models and LLM-based applications.
  • Apply problem framing, AI/ML performance metrics, experiment design and model evaluation techniques.
  • Support prompt engineering, Retrieval-Augmented Generation (RAG) concepts and model documentation.
  • Gather business and technical requirements, identifying dependencies across applications and processes.
  • Contribute to application solution design, coding, configuration and technical reviews.
  • Review code quality, troubleshoot technical issues and implement improvements.
  • Perform root cause analysis to resolve recurring application and software problems.
  • Support application integration, deployment, configuration validation and performance optimisation.
  • Collaborate with project managers and technical teams throughout the software development lifecycle.
  • Produce technical documentation, user guidance and implementation materials.
Essential Skills and Experience
  • Hands-on experience with Google Cloud Platform (GCP) and cloud engineering.
  • Strong understanding of data science, artificial intelligence and machine learning.
  • Experience with classical machine learning and Large Language Model evaluation.
  • Knowledge of prompt engineering, RAG, experiment design and model cards.
  • Experience supporting software development, application integration and technical troubleshooting.
  • Ability to translate business requirements into practical technical solutions.
  • Strong stakeholder communication, documentation and problem-solving skills.
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