NLP Data Scientist

NLP / GenAI Data Scientist (3 - 6 months)

Python coding & NLP and LLMs experience is Essential

Location: 3 days onsite in Central London- do not apply if needing fully remote or not UK based for tax purposes)

Sponsorship not available - do not apply if needing sponsorship to work in the UK

Certain Advantage are recruiting on behalf of our global energies client for an NLP/GenAI Data Scientist who can bring a strong understanding in modern NLP, LLMs, transformer architectures, prompt-engineering, RAG, agentic architectures and evaluation methodologies.

They require candidates to offer strong knowledge of Python programming for developing and debugging AI models and would expect suitable candidates to be educated to a Degree if not Masters level (computer science, electrical engineering, or a related technical subject) though you’ll still be considered without an MSc.

Background

Generative AI (GenAI) is seen as having the potential to revolutionise our client’s operations across all major lines of business. Applications may include conversational AI, intelligent information retrieval, AI-assisted system design, intelligent plant monitoring, and autonomous exploratory systems.

We’re seeking a Data Scientist with good hands on python skills and a focus on Natural Language Processing (NLP) to contribute to innovative R&D efforts within the GenAI/NLP team. This role will focus on the application and development of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and domain-specific GenAI solutions to support key internal use cases and products.

Responsibilities

In this role you will:

• Design, implement and maintain scalable NLP and GenAI pipelines (including data processing, preprocessing, evaluation).
• Perform advanced data analysis on real-world datasets to extract meaningful insights and support decision-making processes.
• Stay up to date with state-of-the-art research in the space of LLMs/ NLP, proposing new ideas and methodologies that unlock business value.
• Contribute to the development of RAG systems and retrieval pipelines, including chunking, embedding, re-ranking, and evaluation.
• Participate in experiments, including designing experimental details, writing reusable code, running evaluations, and organising results.
• Collaborate with a team and help in prioritising research that has a direct value
• Work closely with stakeholders, project managers, and architects to gather requirements, plan project scopes, and deliver projects within agreed timelines.

Candidate Requirements

• Experience and understanding of modern NLP, LLMs, transformer architectures, prompt-engineering, RAG, agentic architectures and evaluation methodologies.
• Strong knowledge of Python programming for developing and debugging AI models.
• Excellent communication skills and a collaborative mindset with the ability to work effectively across teams and disciplines.
• Strong interest in cross-disciplinary collaboration to support research that delivers both business value and scientific impact.

Can you offer Python coding and NLP knowledge and does this sound like your next career move? Apply today!

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