At a Glance
- Tasks: Drive AI adoption in sales by developing intelligent applications and insights.
- Company: Join Apple, a leader in innovation and inclusivity.
- Benefits: Competitive salary, inclusive culture, and opportunities for growth.
- Other info: Collaborative environment with a focus on continuous learning and support.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: Experience in data science, machine learning, and strong analytical skills.
The predicted salary is between 50000 - 70000 £ per year.
The Sales BPR team in EMEIA is looking for a curious, collaborative, and commercially minded Data Scientist to join their team. This role goes beyond traditional reporting, analytics and data science — you will help drive AI adoption across the Sales organisation by supporting the development of intelligent, agentic, and machine learning-powered applications that improve how teams operate and make decisions. You will work closely with data scientists, engineers, and business stakeholders to research, test, and deploy modern AI solutions for real-world sales use cases. You will also play an important role in helping non-technical stakeholders understand and confidently engage with AI technologies. This is an ideal opportunity for someone who is passionate about AI, enjoys solving business problems, and wants to grow in a highly collaborative environment.
Responsibilities
- Analyse sales and operational data to identify trends, opportunities, and actionable insights.
- Work with BPR project managers to prototype and deploy analytics and automation solutions.
- Provide support in researching, testing & applying the latest agentic frameworks to build truly agentic applications for sales use cases.
- Provide training, testing and deployment of machine learning models to be integrated into AI enabled applications and automation workflows.
- Experiment & evaluate the latest AI technologies including LLMs and agent-based systems.
- Act as a subject matter enthusiast on AI and machine learning topics within the sales organisation.
- Share knowledge to help up-skill non-technical team members on fundamentals of AI and machine learning using practical examples.
- Maintain a collaborative and supportive mindset to support sales colleagues on their AI learning journey.
- Partner closely with business stakeholders to understand operational challenges and translate them into data & AI driven solutions.
- Contribute to data quality, documentation and process improvement initiatives.
- Partner closely with our AI/ML lead and Data Platform Architect to collaborate on solutions.
Minimum Qualifications
- Proven experience in data science, analytics, machine learning or AI related projects.
- Strong analytical and problem solving skills.
- Proficiency in SQL, Python, AI Coding tools such as Claude Code, Codex.
- Deep understanding of machine learning fundamentals.
- Deep understanding of how LLMs and agentic systems work and build agentic AI apps.
- Strong curiosity with AI and an ongoing passion for learning.
- Strong interpersonal skills: Ability to communicate clearly to both technical and non-technical stakeholders/teams.
- Genuine interest in supporting and educating others.
- Ability to work in a collaborative, fast paced, cross functional environment.
- Exposure to modern AI frameworks or orchestration tools (LangGraph etc).
- Deep experience with LLM APIs and prompt engineering.
- Familiarity with cloud platforms such as AWS, Azure, GCP.
- Good understanding of APIs, vector databases or RAG architectures.
- Experience working with commercial, operational & sales data.
Preferred Qualifications
- Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, Engineering or a related technical field, or equivalent experience.
Data Scientist, EMEIA Sales employer: Omaze
At Apple, we pride ourselves on fostering a dynamic and inclusive work environment where innovation thrives. As a Data Scientist in the EMEIA Sales team, you will not only engage with cutting-edge AI technologies but also have the opportunity to collaborate with diverse teams, enhancing your skills while contributing to meaningful projects that drive real-world impact. Our commitment to employee growth, accessibility, and a supportive culture makes Apple an exceptional employer for those passionate about technology and collaboration.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist, EMEIA Sales
✨Tip Number 1
Network like a pro! Reach out to current employees in the Sales BPR team or similar roles on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study that showcases your data science prowess, especially with AI applications. Bring it up during interviews to demonstrate your hands-on experience.
✨Tip Number 3
Be ready to discuss real-world applications of AI. Think about how you've used machine learning to solve business problems before. This will show you're not just book-smart but also practical!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Data Scientist, EMEIA Sales
Some tips for your application 🫡
Show Your Curiosity:We want to see your passion for AI and data science shine through! Share specific examples of projects or experiences that highlight your curiosity and problem-solving skills. This will help us understand how you approach challenges and your eagerness to learn.
Tailor Your Application:Make sure to customise your application to reflect the job description. Highlight your experience with SQL, Python, and any relevant AI tools. We love seeing how your background aligns with our needs, so don’t hold back on showcasing your skills!
Communicate Clearly:Since you'll be working with both technical and non-technical teams, it's crucial to demonstrate your ability to communicate complex ideas simply. Use clear language in your application to show us you can bridge that gap effectively.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our culture and values!
How to prepare for a job interview at Omaze
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and machine learning fundamentals. Be ready to discuss how you've applied these concepts in past projects, especially in a sales context. This will show that you're not just familiar with the theory but can also translate it into practical solutions.
✨Show Off Your Collaboration Skills
Since this role involves working closely with both technical and non-technical stakeholders, be prepared to share examples of how you've successfully collaborated in the past. Highlight your ability to communicate complex ideas clearly and how you've helped others understand AI technologies.
✨Demonstrate Your Problem-Solving Mindset
Think of specific instances where you've tackled challenging data problems or identified opportunities through analysis. Be ready to explain your thought process and the impact of your solutions. This will showcase your analytical skills and your commercial mindset.
✨Ask Insightful Questions
Prepare some thoughtful questions about the team’s current projects or challenges they face in adopting AI. This not only shows your genuine interest in the role but also demonstrates your proactive approach to understanding how you can contribute effectively.
