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You will be updated with latest job alerts via emailcausaLens delivers digital workers for analytics & data science transforming the way enterprises automate complex analytics workflows. Our AI agents act as always-on digital workers eliminating the need for fragmented tools consultants and seat licenses. Trusted by industry leaders like Cisco Johnson & Johnson and Canon causaLens empowers teams to achieve insights 10x faster at 1/10th the cost with guaranteed outcomes and zero overhead.
We are seeking AI Engineers with strong data science expertise who are excited to help world-leading enterprises deploy cutting-edge AI agents. The ideal candidate will bring a blend of:
experience with traditional data science and machine learning (solid stats programming ideally exposure to MLOps etc.)
critical: up-to-speed with the latest AI tools and active (daily) leverage of the same (co-pilots MCPs agentic workflows RAGs LLMs) - we appreciate these are new and fast moving technologies - so we are not looking for years of experience with these but the proactive keen adoption and leverage across
stakeholder management solution architecture and delivery. You will work closely with clients translating business problems into scalable intelligent solutions.
Youll collaborate with top-tier enterprises to design and deploy bespoke data science agents empowering users to fully leverage the capabilities of our platform.
We care about our peoples lives both inside and outside of causaLens. Beyond the core benefits like competitive remuneration and a good work-life balance we offer the following:
25 days of paid holiday plus bank holidays
carry over/sell holiday options (up to 5 days)
Share options
Pension scheme
Happy hours and team outings
Referral bonus program
Cycle to work scheme
Friendly tech purchases
Benefits to choose from including Health/Dental Insurance
Special Discounts
Learning and development budget
Work abroad days
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 dialoguereach out anytime.
If you require accommodations during the application process or in your role at causaLens please contact us at
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Full-Time