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 professional 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 in sales.
- 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 in London 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 closely with diverse teams, enhancing your skills while contributing to meaningful projects. Our commitment to employee growth, coupled with a culture that values curiosity and collaboration, makes Apple an exceptional place to advance your career in data science.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist, EMEIA Sales in London
✨Tip Number 1
Network like a pro! Reach out to current employees in the company or industry you're targeting. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving AI and machine learning. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for the interview by brushing up on common data science questions and scenarios. Think about how you can relate your past experiences to the role, especially in terms of collaboration and problem-solving.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of our team at StudySmarter.
We think you need these skills to ace Data Scientist, EMEIA Sales in London
Some tips for your application 🫡
Show Your Curiosity:We want to see your passion for AI and data science shine through in your application. Share examples of how you've explored new technologies or solved complex problems, as this will show us you're the curious mind we're looking for!
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your relevant experience with data science, machine learning, and AI. We love seeing how your skills align with our needs, so don’t hold back on showcasing your achievements!
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 shows you’re keen to join our team at StudySmarter!
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 Your Collaborative Spirit
Since this role involves working closely with various stakeholders, be prepared to share examples of how you've successfully collaborated in the past. Highlight your interpersonal skills and your ability to communicate complex ideas to non-technical team members. This will demonstrate that you can bridge the gap between tech and business.
✨Prepare for Real-World Scenarios
Think about specific sales use cases where AI could make a difference. Be ready to discuss how you would approach these challenges using data analysis and machine learning. This shows that you can think critically and apply your skills to real-world problems, which is exactly what the team needs.
✨Ask Insightful Questions
Prepare some thoughtful questions about the team's current projects and challenges. This not only shows your genuine interest in the role but also gives you a chance to demonstrate your curiosity and problem-solving mindset. It’s a great way to engage with the interviewers and leave a lasting impression.
