Staff Data Scientist, Applied AI

Social network you want to login/join with:

Staff Data Scientist, Applied AI, London

Client:

Checkout.com

Location:

London, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Reference:

cf8acff88647

Job Views:

2

Posted:

13.04.2025

Expiry Date:

28.05.2025

Job Description:

As a Staff Data Scientist specialising in Large Language Models (LLMs), you will play a critical role in harnessing the power of advanced NLP technologies to drive innovation and efficiency across our enterprise. As part of Checkout.com’s AI centre of excellence, you will lead LLM-based solutions' design, development, and deployment, collaborating with cross-functional teams to deliver impactful AI-driven applications.

How you’ll make an impact:

• In collaboration with product managers and engineers, research, scope and validate use cases where LLMs can improve Checkout.com’s product features and business processes.

• Design, develop, and fine-tune LLMs for various applications such as chatbots, virtual assistants, text generation, and more.

• Ensure we have the right processes and tools to curate and preprocess large datasets for training and evaluating LLMs, implement strategies for data augmentation, labeling, and annotation.

• As the technical thought leader, increase the AI fluency in the wider business through supporting training programs and mentoring others.

• Ensure that LLM applications adhere to ethical standards and comply with relevant regulations.

Qualifications:

• Proven track record of developing and deploying LLM-based solutions in an enterprise setting as a senior/staff scientist.

• Proficiency in Python and libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and spaCy. Strong understanding of LLM architectures (e.g., GPT, BERT, T5) and experience fine-tuning them for specific tasks.

• Demonstrable experience in utilising different model architectures and training techniques to optimize performance.

• Familiarity with prompt engineering techniques and frameworks like LangChain, LlamaIndex, or DSpy. Good understanding of LLM models, including other components like VectorDBs and document loaders.

• Strong analytical and problem-solving skills, with the ability to work with complex datasets and extract meaningful insights.

• Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

• Strong ability to collaborate and communicate with a large and varied group of stakeholders to embed AI into workflows and product features.

Nice to have:

• Experience with conversational AI and chatbot development.

• Familiarity with ethical considerations and best practices in AI.

• Previous experience in a mentorship or leadership role within a data science team.

Additional Information:

Apply without meeting all requirements statement:

If you don't meet all the requirements but think you might still be right for the role, please apply anyway. We're always keen to speak to people who connect with our mission and values.

We believe in equal opportunities:

We work as one team. Wherever you come from. However you identify. And whichever payment method you use.

Our clients come from all over the world — and so do we. Hiring hard-working people and giving them a community to thrive in is critical to our success.

When you join our team, we’ll empower you to unlock your potential so you can do your best work. We’d love to hear how you think you could make a difference here with us.

We want to set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. We’ll be happy to support you.

Take a peek inside life at Checkout.com via:

• Our Culture video https://youtu.be/BEwnpHuadSw

• Our careers page https://www.checkout.com/careers

• Our LinkedIn Life pages bit.ly/3OaoN1U

• Our Instagram https://www.instagram.com/checkout_com/