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- Tasks: Design data pipelines and build predictive models to enhance business decisions.
- Company: Join a fast-growing sports brand leveraging AI for customer experience and marketing.
- Benefits: Enjoy a competitive salary, hybrid work, and the chance to influence key decisions.
- Why this job: Make a real impact in a dynamic environment with innovative AI-driven projects.
- Qualifications: Strong SQL and Python skills; experience with AI tools and data pipelines required.
- Other info: Collaborative culture with opportunities for personal and professional growth.
The predicted salary is between 35000 - 45000 £ per year.
Salary Range: £35,000 – £45,000 (DOE)
Location: Surrey
Work policy: 3 days per week in the office
About the business:
We are working with an exciting fast-growing sports brand focused on using AI and data to improve customer experience, marketing performance, and internal processes. With big growth plans and a collaborative, entrepreneurial culture, this is a great opportunity to have real impact in a dynamic environment.
Role Overview:
As an AI Data Engineer, you’ll play a key role in shaping how the business uses AI. You’ll design smart data pipelines, build predictive models, and work closely with teams across the company to turn ideas into real solutions - tackling challenges like customer retention, personalisation, forecasting, and marketing automation. Your work will directly drive smarter decisions and fuel growth.
Essential Skills:
- Strong SQL and Python skills
- Experience building and maintaining data pipelines
- Experience with AI tools (ChatGPT, Make.com, Zoho Zia)
Nice to have:
- Ability to explain complex data insights in simple terms
- Strong stakeholder engagement skills
- Machine learning expertise (classification, regression, clustering)
- E-commerce or retail analytics background
- Experience contributing to digital transformation initiatives
- Commercial mindset: able to turn data insights into business actions
Benefits:
- Competitive salary (£35k–£45k)
- Be part of an ambitious, high-growth business
- Work on innovative, AI-driven projects
- Hybrid working with a collaborative office environment
- Opportunity to influence commercial decisions and drive impact
Interested? Apply here or send your CV to tommaso@3search.co.uk
Equal Opportunities: We are committed to promoting equality of opportunity for all applicants and employees. We ensure that all decisions are made based on merit and skills, free from discrimination or harassment of any kind.
Artificial Intelligence Engineer employer: 3Search
Contact Detail:
3Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer
✨Tip Number 1
Familiarise yourself with the specific AI tools mentioned in the job description, such as ChatGPT and Zoho Zia. Having hands-on experience or projects that showcase your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the AI and data engineering fields, especially those who work in e-commerce or retail analytics. Engaging in conversations about industry trends can provide insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss how you've previously turned data insights into actionable business strategies. Be ready to share specific examples that demonstrate your commercial mindset and ability to influence decisions.
✨Tip Number 4
Showcase your strong stakeholder engagement skills by preparing to discuss how you've collaborated with cross-functional teams in the past. Highlighting your ability to communicate complex data insights in simple terms will be crucial.
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong SQL and Python skills, as well as your experience with building and maintaining data pipelines. Emphasise any relevant projects or roles that showcase your expertise in AI tools.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about AI and how your skills align with the company's goals. Mention your ability to simplify complex data insights and your experience in stakeholder engagement.
Showcase Relevant Experience: If you have experience in e-commerce or retail analytics, make sure to include specific examples of how you've contributed to digital transformation initiatives. This will demonstrate your commercial mindset and ability to turn data insights into actionable business strategies.
Proofread Your Application: Before submitting your application, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at 3Search
✨Showcase Your Technical Skills
Make sure to highlight your strong SQL and Python skills during the interview. Be prepared to discuss specific projects where you've built and maintained data pipelines, as this is crucial for the role.
✨Demonstrate Your AI Knowledge
Familiarise yourself with the AI tools mentioned in the job description, such as ChatGPT and Make.com. Be ready to explain how you've used these tools in past projects or how you would apply them in this new role.
✨Communicate Complex Ideas Simply
Since the role requires explaining complex data insights, practice simplifying technical jargon into layman's terms. This will show your ability to engage with stakeholders effectively.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills, especially related to customer retention and marketing automation. Think of examples from your experience where you've tackled similar challenges.
