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Argus is where smart people belong and where they can grow. We answer the challenge of illuminating markets and shaping new futures.
What we’re looking for
Join our Generative AI team to work on groundbreaking projects that shape the future of AI and data science. Your contributions will directly impact the development of innovative solutions used by global industry leaders. You’ll play a pivotal role in transforming how our data are seamlessly integrated with AI systems, paving the way for the next generation of customer interactions.
We are seeking a Data Scientist to join our Generative AI team. This role will focus on creating and maintaining AI-ready data, leveraging the deep technical knowledge already established within the London team. You will support text and numerical data extraction, curation, and metadata enhancements, accelerating development. You will also help ensure rapid response times, minimizing potential disruptions.
What Will You Be Doing
- AI-Ready Data Development: Design, develop, and maintain high-quality AI-ready datasets, ensuring data integrity, usability, and scalability to support advanced Generative AI models.
- Data Processing: Contribute to data extraction, cleansing, and curation initiatives for diverse text and numerical datasets. Implement sophisticated metadata enrichment strategies to enhance data utility and accessibility for AI systems.
- Algorithm Implementation & Optimization: Implement and optimize state-of-the-art algorithms and pipelines for efficient data processing, feature engineering, and data transformation tailored for LLM and GenAI applications.
- GenAI Application Development: Apply and integrate frameworks like LangChain and Hugging Face Transformers to build modular, scalable, and robust Generative AI data pipelines and applications.
- Prompt Engineering Application: Apply advanced prompt engineering techniques to optimise LLM performance for specific data extraction, summarization, and generation tasks, working closely.
- LLM Evaluation Support: Contribute to the systematic evaluation of Large Language Models (LLMs) outputs, analysing quality, relevance, and accuracy, and supporting the implementation of LLM-as-a-judge frameworks.
- Retrieval-Augmented Generation (RAG) Contribution: Actively contribute to the implementation and optimisation of RAG systems, including working with embedding models, vector databases, and, where applicable, knowledge graphs, to enhance data retrieval for GenAI.
- Cross-Functional Collaboration: Collaborate effectively with global data science teams, engineering, and product stakeholders to integrate data solutions and ensure alignment with broader company objectives.
- Operational Excellence: Troubleshoot and resolve data-related issues promptly to minimise potential disruptions, ensuring high operational efficiency and responsiveness.
- Documentation & Code Quality: Produce clean, well-documented, production-grade code, adhering to best practices for version control and software engineering.
Skills And Experience
- Advanced degree in AI, statistics, mathematics, computer science, or a related field.
- Hands‑on experience with Python, TensorFlow or PyTorch, and NLP libraries such as spaCy and Hugging Face.
- Practical experience with LangChain, Hugging Face Transformers, and embedding models for building GenAI applications.
- Expertise in prompt engineering, including prompt tuning, chaining, and optimisation techniques.
- Experience evaluating LLM outputs, including using LLM-as-a-judge methodologies to assess quality and alignment.
- Familiarity with vector databases.
- Practical experience with Gemini/OpenAI models and cloud platforms such as AWS, Google Cloud, or Azure. Experience with Docker for containerisation is a plus.
- Understanding of data extraction, curation, metadata enrichment, and AI‑ready dataset creation.
- Excellent communication skills and a collaborative mindset, with experience working across global teams.
What’s in it for you
Our rapidly growing, award‑winning business offers a dynamic environment for talented, entrepreneurial professionals to achieve results and grow their careers. Argus recognises and rewards successful performance and, as an Investor in People, we promote professional development and retain a high‑performing team committed to building our success.
- Competitive salary and company bonus scheme
- Group pension scheme
- Group healthcare and life assurance scheme
- Flexible working environment
- 25 days holiday with annual increase up to 30 days
- Subsidised gym membership
- Season ticket travel loans
- Cycle to work scheme
- Extensive internal and external training
About Argus
Argus is the leading independent provider of market intelligence to the global energy and commodity markets. We offer essential price assessments, news, analytics, consulting services, data science tools and industry conferences to illuminate complex and opaque commodity markets. Headquartered in London with over 1,500 staff, Argus is an independent media organisation with 30 offices in the world’s principal commodity trading hubs. Founded in 1970, Argus remains a privately held UK‑registered company owned by employee shareholders and global growth equity firm General Atlantic.
Argus is committed to ensuring career and personal growth for all its staff and provides extensive training and career development opportunities, as well as participation in employee‑led initiatives, including a women’s network. Our core values are Excellence, Integrity, Partnership and Inclusivity.
By submitting your job application, you automatically acknowledge and consent to the collection, use and/or disclosure of your personal data to the Company. Argus is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, sexual orientation, gender identity, disability, or veteran status.
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