Data Scientist

Code First Girls

5d•Remote

About The Position

This is a free training course followed by the potential for a role with one of our clients. Upon completion of our course, you will be equipped to start your new role. Our clients are looking for Data Scientists to join their team.

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, including proficiency in Python and AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face.
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, including tools like GitHub Copilot and Amazon CodeWhisperer.
Familiarity with cloud platforms (e.g., Kubernetes, AWS, Azure, GCP, IBM Cloud) and related services, as well as experience with relational and NoSQL databases (SQL, PostgreSQL, DB2, MongoDB).

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.