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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 giants like Cisco and Johnson & Johnson.
- Benefits: Enjoy 25 days paid holiday, share options, and a learning budget, plus more perks!
- 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 28800 - 48000 £ 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.
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)
- 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.
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
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 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, MCPs, and LLMs during interviews 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
Engage with the causaLens community or follow their updates on social media. This will not only keep you informed about their latest projects but also give you insights that can be useful during your interviews.
✨Tip Number 4
Practice your presentation skills, as the interview process includes a presentation challenge. Make sure you can clearly articulate your ideas and solutions, showcasing your ability to communicate effectively with stakeholders.
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 at causaLens. Familiarise yourself with their focus on data science and machine learning, as well as the latest AI tools mentioned in the job description.
Tailor Your CV: Customise your CV to highlight relevant experience in data science, machine learning, and any exposure to MLOps. Emphasise your familiarity with the latest AI tools and technologies, showcasing how you've actively leveraged them in past projects.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also demonstrates your enthusiasm for the role. Mention specific examples of how you've translated business problems into intelligent solutions and your proactive approach to adopting new technologies.
Prepare for the Interview Process: Since the interview process includes a practical challenge, be ready to showcase your skills in a hands-on environment. Review common data science problems and practice presenting your solutions clearly and confidently, as communication is key in stakeholder management.
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 enthusiasm for the field.
✨Prepare for Stakeholder Management Scenarios
Think about past experiences where you've translated business problems into scalable solutions. Be ready to share examples of how you've managed stakeholders and delivered successful projects, as this is key to the role.
✨Practice Your Presentation Skills
Since the interview includes a presentation component, practice delivering your ideas clearly and confidently. Focus on how you can effectively communicate complex concepts to non-technical stakeholders, as this will be essential in your role.
