Senior Data Scientist - GenAI

As a Senior 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 AI centre of excellence you will lead LLMbased solutions design development and deployment collaborating with crossfunctional teams to deliver impactful AIdriven applications.

How youll make an impact:

• In collaboration with product managers and engineers research scope and validate use cases where LLMs can improve product features and business processes 

• Design develop and finetune 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 LLMbased solutions in an enterprise setting as a senior/staff scientist.

• Proficiency in Python and libraries such as TensorFlow PyTorch Hugging Face Transformers and understanding of LLM architectures (e.g. GPT BERT T5 and experience finetuning 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 problemsolving 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 nontechnical stakeholders.

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

Added bonuses:

• 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 dont meet all the requirements but think you might still be right for the role please apply anyway. Were always keen to speak to people who connect with our mission and values.

Hybrid Working Model:All of our offices globally are onsite 3 times per week (Tuesday Wednesday and Thursday). Weve worked towards enabling teams to work collaboratively in the same space while also being able to partner with colleagues globally. During your days at the office we offer amazing snacks breakfast and lunch options in all of our locations.

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 hardworking people and giving them a community to thrive in is critical to our success.

When you join our team well empower you to unlock your potential so you can do your best work. Wed 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. Well be happy to support you.

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