AI Engineer - Data Science
Role details
Job location
Tech stack
Job description
- Collaborate directly with top-tier enterprises to understand needs, design and deploy bespoke agentic workflows.
- Design and implement robust architectures that leverage the latest AI technologies.
- Lead the delivery of high-impact AI products from concept to deployment.
You'll collaborate with top-tier enterprises to design and deploy bespoke data science agents, empowering users to fully leverage the capabilities of our platform.
Requirements
- experience with traditional data science and machine learning (solid stats, programming, ideally exposure to MLOps, etc.)
- critical: Hands-on experience building production-grade solutions using LLMs, RAGs, MCPs, and agentic workflows.
- Client-facing experience with a forward-deployed engineering mindset. You'll work directly with both technical teams and business stakeholders to understand real-world challenges and deliver solutions that drive measurable impact.
- Strong solution architecture and delivery skills: ability to translate complex business problems into scalable, intelligent AI solutions. What you'll do
Benefits & conditions
We care about our people's lives, both inside and outside of causaLens. Beyond the core benefits like competitive remuneration and a good work-life balance, we offer the following:
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25 days of paid holiday, plus bank holidays
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carry over/sell holiday options (up to 5 days)
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Share options
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Pension scheme
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Happy hours and team outings
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Referral bonus program
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Cycle to work scheme
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Friendly tech purchases
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Benefits to choose from, including Health/Dental Insurance
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Special Discounts
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Learning and development budget
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Work abroad days
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Office snacks and drinks
Logistics
Our interview process consists of screening sessions with the hiring manager and a "Day 0" which involves an approx 3 hours in-person challenge followed by an in-person presentation and interviews.
Have questions? We encourage open dialogue-reach out anytime.