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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: Be part of an innovative team making a real impact in a dynamic environment.
- Qualifications: Strong SQL and Python skills; experience with AI tools and data pipelines required.
- Other info: Opportunity to work on exciting AI-driven projects in a collaborative culture.
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, like ChatGPT and Zoho Zia. Having hands-on experience or projects showcasing these tools can set you apart during discussions.
✨Tip Number 2
Prepare to discuss your experience with data pipelines in detail. Be ready to share examples of how you've designed or maintained them, as this is a crucial part of the role.
✨Tip Number 3
Highlight any experience you have in e-commerce or retail analytics. This background will resonate well with the company's focus on improving customer experience and marketing performance.
✨Tip Number 4
Showcase your ability to communicate complex data insights simply. Prepare a few examples where you've successfully explained technical concepts to non-technical stakeholders, as this skill is highly valued.
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. Use specific examples from your past work to demonstrate your expertise in AI tools.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills align with their needs, particularly in shaping AI usage and driving smarter decisions. Be sure to include any relevant experience in e-commerce or retail analytics.
Showcase Your Problem-Solving Skills: Provide examples of how you've tackled challenges similar to those mentioned in the job description, such as customer retention and personalisation. Highlight your ability to explain complex data insights in simple terms, which is a nice-to-have skill for this position.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial in a fast-growing business environment.
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 Zoho Zia. 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 involves explaining complex data insights, practice articulating your thoughts clearly and concisely. Use examples from your experience to demonstrate how you've successfully communicated technical concepts to non-technical stakeholders.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities, especially related to customer retention and marketing automation. Think of scenarios where you've tackled similar challenges and be ready to share your thought process and outcomes.
