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- Tasks: Join us as an AI Engineer to design and deploy innovative data science agents.
- Company: CausaLens transforms analytics with AI, trusted by industry giants like Cisco and Johnson & Johnson.
- Benefits: Enjoy 25 days paid holiday, share options, and a learning budget, plus flexible work options.
- Why this job: Be part of a cutting-edge team that empowers enterprises to achieve insights faster and smarter.
- Qualifications: Strong data science skills and familiarity with the latest AI tools are essential.
- Other info: Our interview process includes engaging challenges and open communication throughout.
The predicted salary is between 36000 - 60000 £ per year.
Overview causaLens delivers Digital Workers that enterprises can truly rely on. Soon, competing without Digital Workers will be impossible. We\’ve built the first factory and Operating System for creating, deploying, and governing Digital Workers. For too long, enterprises have been bogged down by repetitive work, an overload of tools, and costly consultancies. It\’s time to simplify. It\’s time for Digital Workers to take on the repetitive workflows, freeing humans to focus on what matters most. Trusted by leading companies like J&J, Cisco, IPG Group, and Syneos Health. Backed by over $50M in funding from world-class investors, including Molten Ventures (formerly Draper Esprit), Dorilton Capital, and IQ Capital, plus visionary angel investors such as the CEO of Revolut.Here are 2 articles that define our culture: 1. A Hiring Framework for a New Kind of Services Company. The Primacy of Winning.We are seeking AI Engineers with strong data science expertise who are passionate about helping world-leading enterprises put cutting-edge AI agents into production. You\’ll work on impactful, high-visibility projects – designing, building, and delivering intelligent solutions that solve real business problems at scale.What you\’ll bring:experience with traditional data science and machine learning (solid stats, programming, ideally exposure to MLOps, etc.)
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: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.Benefits 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: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 dialogue—reach out anytime. If you require accommodations during the application process or in your role at causaLens, please contact us at talent@causalens.com
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AI Engineer - Data Science employer: causaLens
Contact Detail:
causaLens Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer - Data Science
✨Tip Number 1
Familiarise yourself with the latest AI tools and technologies mentioned in the job description. Being able to discuss your hands-on experience with co-pilots, MLOps, and LLMs during the interview will show your proactive approach and enthusiasm for the role.
✨Tip Number 2
Prepare to demonstrate your problem-solving skills by thinking of real-world business problems you've tackled in the past. Be ready to explain how you translated these challenges into scalable solutions, as this aligns closely with what causaLens is looking for.
✨Tip Number 3
Research causaLens and its clients, like Cisco and Johnson & Johnson. Understanding their industries and specific challenges can help you tailor your responses and show that you're genuinely interested in contributing to their success.
✨Tip Number 4
Practice your presentation skills, as the interview process includes a 'Day 0' challenge where you'll need to present your ideas. Being clear and confident in your delivery will make a strong impression on the hiring team.
We think you need these skills to ace AI Engineer - Data Science
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the AI Engineer position. Familiarise yourself with causaLens and their innovative approach to data science and analytics.
Tailor Your CV: Highlight your experience in data science and machine learning prominently in your CV. Emphasise any exposure to MLOps and the latest AI tools, as well as your ability to translate business problems into scalable solutions.
Craft a Compelling Cover Letter: Write a cover letter that showcases your enthusiasm for the role and the company. Discuss how your skills align with the job requirements and mention specific projects or experiences that demonstrate your expertise in AI and data science.
Prepare for the Interview Process: Since the interview process includes a practical challenge, be ready to demonstrate your technical skills. Review relevant concepts and prepare to discuss your approach to problem-solving in data science scenarios.
How to prepare for a job interview at causaLens
✨Brush Up on Data Science Fundamentals
Make sure you have a solid understanding of traditional data science and machine learning concepts. Be prepared to discuss your experience with statistics, programming, and any exposure to MLOps, as these are crucial for the role.
✨Stay Current with AI Tools
Familiarise yourself with the latest AI tools and technologies mentioned in the job description, such as co-pilots, MCPs, and LLMs. Showing that you actively leverage these tools will demonstrate your proactive approach and adaptability.
✨Prepare for Stakeholder Management Scenarios
Since the role involves translating business problems into scalable solutions, think of examples from your past experiences where you've successfully managed stakeholders or delivered solutions. Be ready to discuss how you approach problem-solving in a collaborative environment.
✨Practice Your Presentation Skills
Given that the interview includes a presentation component, practice delivering your ideas clearly and confidently. Focus on how you can effectively communicate complex data science concepts to non-technical stakeholders, as this will be key in your role.
