Senior Data Scientist (AI)

TL;DR

Senior Data Scientist (AI): Improving current approaches for solving common AI use cases, focused on NLP, blending traditional NLU techniques with GenAI. Focus on delivery of proofs-of-concepts that demonstrate new capabilities and how they can deliver value to future projects.

Location: Bristol. Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites

Salary: £72,702 - £80,780

Company

hirify.global is rebooting an icon and building the future of finance.

What you will do

• Own and continually improve upon current approaches for solving common AI use cases, focused on NLP – blending traditional NLU techniques with GenAI.
• Contribute to the data science chapter and help it address more complex problems that require new approaches to be introduced.
• Delivery of proofs-of-concepts that demonstrate these new capabilities and how they can deliver value to future projects.
• Contribute to target production architectures of AI systems.
• Define automated approaches to common workflows - e.g., for feature selection, hyperparameter tuning, model testing and monitoring, etc.
• Coach and help develop more junior members of the team, including other data scientists, graduates and apprentices.

Requirements

• Previous experience as a Data Scientist in machine learning.
• Strong communication skills and the ability to collaborate effectively with other teams.
• A strong ability to translate data science methods and results for nontechnical audiences and to persuade senior business stakeholders of the significance of these results for decision making.
• Theoretical and applied knowledge of a broad range of statistical modelling and ML techniques focused on NLP – blending traditional NLU techniques with GenAI.
• A good working knowledge of the latest NLP and LLM techniques.
• Skills in Python and SQL for data science, including how to write modular code, familiarity with the core Python data structures and fluency with pandas and other packages commonly used for data science.

Culture & Benefits

• A generous pension contribution of up to 15%.
• An annual performance-related bonus.
• Share schemes including free shares.
• Benefits you can adapt to your lifestyle, such as discounted shopping.
• 30 days’ holiday, with bank holidays on top.
• A range of wellbeing initiatives and generous parental leave policies.