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- Tasks: Join us as an AI Engineer to design and deploy innovative data science agents.
- Company: CausaLens transforms analytics with cutting-edge 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 dynamic team that empowers enterprises to achieve insights faster and more efficiently.
- Qualifications: Strong data science skills, familiarity with AI tools, and a proactive approach to learning are essential.
- Other info: Our interview process includes engaging challenges and we welcome open dialogue throughout.
The predicted salary is between 43200 - 72000 £ per year.
causaLens 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.
Requirements
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.)
- up-to-speed with the latest AI tools and active (daily) leverage of the same (co-pilots, MCPs, agentic workflows, RAGs, LLMs)
- 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. 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.
AI Engineer - Data Science (City of London) employer: causaLens
Contact Detail:
causaLens Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer - Data Science (City of London)
✨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, MCPs, 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 challenges will 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 followed by a presentation. 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 (City of London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data science and machine learning. Emphasise any exposure to MLOps and the latest AI tools, as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for working with cutting-edge AI technologies. Mention specific projects or experiences that demonstrate your proactive approach to adopting new tools and solving business problems.
Showcase Relevant Skills: When detailing your skills, focus on those that align with the job description, such as stakeholder management and solution architecture. Use examples to illustrate how you've successfully applied these skills in past roles.
Prepare for the Interview Challenge: Since the interview process includes a practical challenge, brush up on your problem-solving skills and be ready to demonstrate your ability to translate business problems into intelligent solutions during the in-person presentation.
How to prepare for a job interview at causaLens
✨Brush Up on Data Science Fundamentals
Make sure you're well-versed in traditional data science and machine learning concepts. Review your statistics, programming skills, and any relevant MLOps knowledge to demonstrate your expertise during the interview.
✨Stay Current with AI Tools
Familiarise yourself with the latest AI tools and technologies mentioned in the job description. Be prepared to discuss how you've actively leveraged these tools in your projects, even if your experience is limited.
✨Prepare for Stakeholder Management Scenarios
Since you'll be translating business problems into solutions, think of examples where you've successfully managed stakeholders or collaborated with clients. This will showcase your ability to communicate effectively and understand client needs.
✨Practice Your Presentation Skills
Given that the interview includes a presentation, rehearse your delivery. Focus on clearly explaining complex concepts and solutions, as this will be crucial in demonstrating your capability to design and deploy bespoke data science agents.
