Data Scientist (Genai & AI Engineering)

TL;DR

Data Scientist (GenAI & AI Engineering): Improving products using Generative AI, machine learning, and automation with an accent on responsible, measurable impact. Focus on choosing the right approach to experimentation and evaluation of GenAI systems.

Location: Hybrid working - 2 days in the office

Company

hirify.global is a global data and technology company, powering opportunities for people and businesses around the world.

What you will do

• Turn fuzzy ideas into clear problem statements, assumptions, and success metrics.
• Design and run experiments to evaluate GenAI systems, including baseline comparisons, error analysis, and understanding failure modes.
• Help refine GenAI solutions, using modern development practices and AI-assisted coding tools to iterate quickly.
• Communicate results, including trade-offs, limitations, and recommendations for what to do next.
• Share insights with the team and spend ~10% of your time on learning and knowledge sharing.

Requirements

• Experience working as a data scientist (or in a similar role), applied machine learning, and Python programming.
• Comfortable working with incomplete information, and enjoy figuring things out through exploration and experimentation.
• Keen to develop broader skills across AI engineering and product-focused delivery.
• Curious, reflective, and thoughtful in your approach, comfortable challenging your own assumptions and engaging constructively with the ideas and work of others.
• Think beyond your scope: join up product, data, and engineering context to spot issues early and improve decisions.

Nice to have

• Exposure to software engineering practices such as version control, testing, or object-oriented programming.
• Understand how companies deploy or run AI systems in practice through cloud services or containerised environments.
• Experience working with product managers, engineers, or other team members in a collaborative setting.
• Experience explaining technical concepts or analysis to non-technical partners.

Culture & Benefits

• Hybrid working - 2 days in the office
• Great compensation package and discretionary bonus plan
• Core benefits include pension, bupa healthcare, sharesave scheme and more!
• 25 days annual leave with 8 bank holidays and 3 volunteering days. You can also purchase additional annual leave.