Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

This is a free training course followed by the potential for a role with one of our clients. Our clients are looking for Data Scientists to join their team.

Responsibilities

• Lead Generative AI Initiatives: Take technical ownership of high-profile GenAI projects, guiding initiatives from ideation, innovation, and proof of concept (PoC) through to Minimum Viable Product (MVP) and enterprise-scale deployment.
• Technical Innovation & Experimentation: Drive work within the Ideation pillar by prototyping, testing, and evaluating novel GenAI concepts and machine learning techniques to determine scalability and business value.
• Senior Collaboration & Governance: Work closely with the Chief Data Scientist to align technical strategy, receive mentorship, and ensure rigorous quality assurance across all project deliverables.
• Cross-Stakeholder Delivery: Serve as a core technical liaison between programme teams and key stakeholders to translate complex requirements into actionable AI solutions.
• High-Impact Execution: Maintain exceptional standards of technical excellence, model evaluation, and documentation on high-visibility projects spanning two major enterprise organisations.

Requirements

• 1.5+ years of experience in a technology-focused role using Python
• Able to pass a technical assessment in Python, Java or Javascript
• Commitment to complete a 16-week, part-time course to develop your mid-level skills
• Experience in managing the full AI project lifecycle, from research and prototyping to deployment in production environments.
• Excellent communication and stakeholder management skills.
• Experience with advanced analytics techniques for structured data.
• Deep understanding of Natural Language Processing (NLP) and Machine Learning (ML) methods for unstructured content, with expertise in foundation models and large language models.
• Experience in architecting and delivering AI solutions using cutting-edge technologies.
• Familiarity with cloud platforms (e.g., Kubernetes, AWS, Azure, GCP, IBM Cloud) and related services.
• Experience with relational and NoSQL databases (SQL, PostgreSQL, DB2, MongoDB).

Skills

• Python
• Java
• Javascript
• TensorFlow
• PyTorch
• Keras
• Hugging Face
• GitHub Copilot
• Amazon CodeWhisperer
• Kubernetes
• AWS
• Azure
• GCP
• IBM Cloud
• SQL
• PostgreSQL
• DB2
• MongoDB

Location

• Remote, UK
• London
• Manchester

Work Type

• Part-time course
• Remote
• Onsite (1 day per fortnight)

Experience Level

• Mid-level
• 1.5+ years

Education Level

• Free training course

Benefits

• Competitive benefits vary per client

About the Company

• All of our courses are 100% free for all students. There are no secret or hidden fees, no payment upon completion, and no debt. We work with our partner companies to ensure this education is free for all learners.