Senior Data Scientist, Operations (GenAI)
Senior Data Scientist, Operations (GenAI)
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Job Description
Senior Data Scientist Operations (GenAI)
Holborn London UK.
Argus is where smart people belong and where they can grow. We answer the challenge of illuminating markets and shaping new futures.
What were 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. Youll 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 an experienced Senior 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.
- Advanced Data Processing:Lead hands-on efforts in complex data extraction cleansing and curation 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 optimize LLM performance for specific data extraction summarization and generation tasks working closely with the Leads guidance.
- 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 optimization of RAG systems including working with embedding models vector databases and where applicable knowledge graphs to enhance data retrieval for GenAI.
- Technical Mentorship:Act as a technical mentor and subject matter expert for junior data scientists providing guidance on best practices in coding data handling and GenAI methodologies.
- 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 minimize 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
- Academic Background: Advanced degree in AI statistics mathematics computer science or a related field.
- Programming and Frameworks: Deep experience with Python 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 building GenAI applications.
- Prompt Engineering: Deep expertise in prompt engineering including prompt tuning chaining and optimization techniques.
- LLM Evaluation: Experience evaluating LLM outputs including using LLM-as-a-judge methodologies to assess quality and alignment.
- RAG and Knowledge Graphs: Practical understanding and experience using vector databases. In addition familiarity with graph-based RAG architectures and the use of knowledge graphs to enhance retrieval and reasoning would be a strong plus.
- Cloud: Practical experience with Gemini/OpenAI models and comfortable with cloud platforms such as AWS Google Cloud or Azure. Proficient with Docker for containerization.
- Data Engineering: Strong understanding of data extraction curation metadata enrichment and AI-ready dataset creation.
- Collaboration and Communication: Excellent communication skills and a collaborative mindset with experience working across global teams.
Whats 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 recognizes 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 1500 staff Argus is an independent media organisation with 30 offices in the worlds principal commodity trading hubs.
Companies trading firms and governments in 160 countries around the world trust Argus data to make decisions analyse situations manage risk facilitate trading and for long-term planning. Argus prices are used as trusted benchmarks around the world for pricing transportation commodities and energy. 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 womens network. Our core values are Excellence Integrity Partnership and Inclusivity.
For more details about the company and to apply please make sure you upload your CV via our website: 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 identitydisabilityor veteran status.
Required Experience:
Senior IC
Employment Type
Full-Time
