Join PwC UK. We are a forward-thinking consulting firm looking for dynamic, motivated experienced Manager or Senior Manager Data Scientist to join our Tax Technology team.

Job Description:

Our mission is to build powerful machine learning tools and solutions to drive insights and solve complex problems. Reporting to the Director of AI in Tax, you will join the Tax Technology team in building Generative AI examples, training ML models, and creating engaging, educational technical content for our clients and wider markets.

The Tax Technology team works closely with the end-user teams to provide feedback and test early prototypes.

Responsibilities

Build, train and work ML models with our subject matter experts to

Build and maintain both our Generative AI and deep-learning open-source integrations which tens of thousands of ML Engineers use daily

Host educational webinars and occasionally travel to meetups and conferences

Collaborate occasionally with our Product team to provide product feedback and test early prototypes for our new LLM features such as LLM Monitoring and Traces

Requirements

3+ years industry experience in software engineering or ML model development on a machine learning team in a production environment

Ideally to have written blog posts and/or social media threads that explore and push the limits of open or closed source LLMs such as Llama, GPT4, Claude, etc

Experience pre-training and/or fine-tuning LLMs at the 1b+ scale

Willingness to try new things, document and learn from them, and iterate quickly

Ability to work autonomously in a self-directed, fast-paced environment

A curious mind and a proactive, kind, and collaborative approach to your work

We encourage you to apply even if your experience doesn't perfectly align with the job description as we seek out diverse and creative perspectives. Team members who love to learn and collaborate in an inclusive environment will flourish with us. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.