Intermediate Data Scientist (AI R&D)

How we work

Our approach is built on collaboration, creativity, and ownership. Every member of our team is encouraged to push the boundaries of what’s possible, experiment with new ideas, and take bold steps to drive impact. We embrace open communication, share knowledge freely, and believe in solving problems together. We value progress over perfection and never shy away from trying something new, knowing that this is how great things happen.

We set clear goals and ensure that everyone—from engineers to scientists—understands how their work contributes to our broader mission. We break down silos across departments, so ideas flow freely, and we can deliver the best solutions for our clients. Most of our work revolves around data-driven solutions, and our product teams work cross-functionally to tackle unique challenges head-on.

We’re looking for more talented people to help us shape the future of AI and data-driven decision-making. If working at Isazi sounds exciting to you, we’d love to meet you!

We're looking for a well-rounded data scientist to contribute meaningfully to our AI Research & Development team. You'll work on challenging, open-ended problems at the intersection of data science, machine learning, and applied research with the freedom to explore ideas and the responsibility to deliver results.

• STEM degree (BSc minimum; MSc or PhD highly valued)

• 3 to 4 years of relevant experience in data science, machine learning, or a related field

• Fluency and clarity in Python, English, and Mathematics

• Ability to understand and articulate complex business problem statements, structuring them into clear equations, functional code, and technical specifications

• Able to communicate technical concepts clearly to both technical and non-technical stakeholders and clients

• Able to conduct thorough, constructive code reviews

• Desire to both mentor junior team members and continue learning as a mentee

• Able to contribute ideas and challenge thinking within the team

Strong understanding of data science and machine learning principles, including:

• Generative AI

• AutoML

• Ensemble methods

• Dimensionality reduction

• Model drift and monitoring

• Explainable AI (xAI)
  

Understanding of key mathematical concepts, including:

• Graph theory

• Bayesian optimisation

• Backpropagation
  

Understanding of key software engineering concepts, including:

• Version control (Git)

• Clean code and readability

• SOLID principles, YAGNI

• Coupling, testing, and interfaces
  

• Ability and desire to read and engage with academic papers

• Experience conducting research or developing a proof of concept is highly valuable
  

Perks of the job

• Pension fund contribution (5% from Isazi)

• Funeral cover

• Disability cover

• Work on impactful, real-world projects

• Flexible work options (remote + hybrid)

• Monthly socials and team events

• A personal development budget

• A birthday cake delivered to you on your special day

• Free breakfast and lunch from our in-house chef

• A paid Google Gemini account and access to other AI tools (Copilot, Cursor, NotebookLM, Qwen, etc.)

• Regular industry talks

Our Process

1. Initial Hiring Manager Screening (45 minutes): A call with the hiring manager.

2. Technical Assessment: 1 week to complete.

3. Technical & Cultural Panel Interview (60 minutes): Review your experience and assess technical skills with senior data scientists and talent acquisitions.

4. EXCO Meet & Greet (30 minutes): Meet an EXCO stakeholder to see how your work style fits with our values.

5. Offer: If successful, we’ll extend a formal offer to join the team!