Data Scientist, Operations (GenAI)

Argus; London; On-site; GBP 50,000 - 80,000; Full time

Job summary

Join a leading company as a Data Scientist in the Generative AI team, where you will play a pivotal role in developing AI-ready datasets and implementing state-of-the-art algorithms. The position offers a chance to work on innovative solutions impacting global industry standards while enjoying a competitive salary and a collaborative work environment.

Benefits

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

Qualifications

• Academic background in AI or computer science preferred.
• Hands-on experience with various frameworks and data processes.
• Excellent communication and collaboration skills required.

Responsibilities

• Design and maintain AI-ready datasets to support AI projects.
• Contribute to metadata enrichment for datasets.
• Optimize algorithms for data processing related to GenAI.

Skills

Python

TensorFlow

PyTorch

NLP

Data curation

Prompt engineering

Collaboration

Education

Advanced degree in AI, statistics, mathematics, computer science, or a related field

Tools

LangChain

Hugging Face Transformers

spaCy

Job description

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 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 optimize 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 optimization 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 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: Hands-on 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: 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: Familiarity with vector databases.
• Cloud: Practical experience with Gemini/OpenAI models and cloud platforms such as AWS, Google Cloud, or Azure. Experience with Docker for containerization is a plus.
• Data Engineering: 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.

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 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 1,500 staff, Argus is an independent media organisation with 30 offices in the world’s 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.

Argusis 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.

For more details about the company and to apply please make sure you upload your CV via our website: www.argusmedia.com/en/careers/open-positions

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,disabilityor veteran status.