Build the future of

actuarial, data & GenAI with us.

ARGenesis blends actuarial expertise, data science and emerging AI technologies to support clients across insurance, health, retail, education and more. We are building a small, high-calibre team that cares about impact, learning and doing the right thing in regulated spaces.

Remote-first · London hub · Global clients

Opportunities across actuarial, AI, engineering & operations

Careers snapshot

  • Focus areas: actuarial, GenAI, data science, engineering, product & operations.
  • Types of roles: permanent, part-time, consulting and advisory.
  • Early careers: internships, ARGenesis Academy & project-based fellowships.

We care less about traditional CV checklists and more about your ability to learn, collaborate and build meaningful solutions for clients.

Why join ARGenesis?

Work where actuarial, AI and ethics meet.

Our work sits at the intersection of actuarial science, data, technology and well-being. You will work on problems that matter for insurers, health systems, regulators and communities, with room to grow across multiple domains.

How we work

  • Small, cross-disciplinary teams
  • Mix of client work, product and R&D
  • Remote-friendly with in-person collaboration
  • Practical focus on impact & delivery

What we value

  • Curiosity and willingness to learn
  • Integrity and care in regulated contexts
  • Clear, respectful communication
  • Energy for building new things

Career paths

Different ways to work with ARGenesis.

Core team roles

Permanent or long-term roles across actuarial, data, AI, engineering and operations.

• Lead and senior positions for experienced professionals

• Hands-on delivery plus mentoring of juniors
• Involvement in product and IP development

Consulting & advisory

For senior professionals who prefer flexible or portfolio careers.

• Project-based consulting assignments
• Advisory roles for boards or product teams
• Opportunities to co-create thought leadership

Early careers & Academy

For students and early-career talent who want to learn by doing.

• Internships and project placements
• ARGenesis Academy cohorts and fellowships
• Opportunities to contribute to real client work

How to apply

Simple, thoughtful applications over generic ones.

When you apply, we are keen to understand how you think, what you care about and what you want to learn. A CV is helpful, but short, focused notes about relevant work, projects or ideas are even better.

For advertised roles

  • Apply via the listed email or form
  • Include a CV or LinkedIn profile
  • Add a short note on why ARGenesis and this role

Speculative applications

  • Email careers@argenesis.com
  • Share your areas of interest and availability
  • Include examples of projects or initiatives you are proud of

What to expect

  • We aim to acknowledge applications within a reasonable timeframe.
  • Processes may include conversations, practical exercises or portfolio reviews.
  • We prioritise clarity, respect and feedback where possible.

If you need adjustments to the application or interview process, let us know in your email and we will work with you to accommodate where we can.

Not sure where you fit?

If ARGenesis resonates with you, we would still like to hear from you.

Some of our best collaborations start with a simple message rather than a perfect match to a job description. If you feel you could help us build the future of actuarial, data and GenAI — reach out.

 

careers@argenesis.com

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