Overview
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 will help transform how data are integrated with AI systems, paving the way for the next generation of customer interactions.
What we’re looking for We are seeking an experienced Senior Data Scientist to join our Generative AI team in London. This role focuses on creating and maintaining AI-ready data, supporting text and numerical data extraction, curation, and metadata enhancements, accelerating development and ensuring rapid response times.
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.
- Advanced Data Processing: Lead data extraction, cleansing, and curation for diverse text and numerical datasets with metadata enrichment to enhance usability for AI systems.
- Algorithm Implementation & Optimization: Implement and optimize state-of-the-art algorithms and pipelines for data processing, feature engineering, and data transformation for LLM/GenAI applications.
- GenAI Application Development: Apply frameworks like LangChain and Hugging Face Transformers to build modular, scalable GenAI data pipelines and applications.
- Prompt Engineering Application: Apply advanced prompt engineering techniques to optimize LLM performance for data extraction, summarization, and generation tasks, with guidance from leads.
- LLM Evaluation Support: Contribute to systematic evaluation of LLM outputs, analyzing quality, relevance, and accuracy, and support LLM-as-a-judge implementations.
- Retrieval-Augmented Generation (RAG) Contribution: Contribute to RAG systems, working with embeddings, vector databases, and knowledge graphs to enhance data retrieval for GenAI.
- Technical Mentorship: Act as a technical mentor for junior data scientists, guiding on coding, data handling, and GenAI methodologies.
- Cross-Functional Collaboration: Collaborate with global data science, engineering, and product stakeholders to align data solutions with company objectives.
- Operational Excellence: Troubleshoot and resolve data-related issues promptly to minimise disruptions and maintain high operational efficiency.
- Documentation & Code Quality: Produce clean, well-documented, production-grade code with strong version control and software engineering practices.
Skills And Experience
- Academic Background: Advanced degree in AI, statistics, mathematics, computer science, or related field.
- Programming & Frameworks: Extensive Python experience with TensorFlow or PyTorch, and NLP libraries such as spaCy and Hugging Face.
- GenAI Tools: Practical experience with LangChain, Hugging Face Transformers, and embedding models for GenAI applications.
- Prompt Engineering: Deep expertise in prompt engineering, including tuning, chaining, and optimization techniques.
- LLM Evaluation: Experience evaluating LLM outputs, including LLM-as-a-judge methodologies.
- RAG & Knowledge Graphs: Understanding of vector databases; familiarity with graph-based RAG architectures and knowledge graphs is a plus.
- Cloud & Docker: Experience with cloud platforms (AWS, Google Cloud, Azure) and containerization with Docker.
- Data Engineering: Strong understanding of data extraction, curation, metadata enrichment, and AI-ready dataset creation.
- Collaboration & Communication: Excellent communication and collaboration skills across global teams.
What’s in it for you
Our rapidly growing, award-winning business offers a dynamic environment for talented professionals to achieve results and grow. Argus promotes professional development and retains a high-performing team.
- Competitive salary and company bonus scheme
- Group pension scheme
- Group healthcare and life assurance
- 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, offering price assessments, news, analytics, consulting, data science tools and events. Headquartered in London with over 1,500 staff and 30 offices worldwide, Argus serves clients in 160 countries. Argus is committed to career and personal growth, extensive training, and employee initiatives. Our core values are Excellence, Integrity, Partnership and Inclusivity.
To apply, upload your CV via our website: www.argusmedia.com/en/careers/open-positions
By submitting your application, you acknowledge consent to the collection, use, and disclosure of your personal data. Argus is an equal opportunity employer and values diversity in the workplace.
