At a Glance
- Tasks: Analyse sales data and develop AI solutions to enhance decision-making.
- Company: Join a leading tech giant known for innovation and inclusivity.
- Benefits: Competitive salary, flexible hours, 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, strong analytical skills, and proficiency in Python and SQL.
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.
Description
- 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: 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 e.g. 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.
At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law.
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Data Scientist, EMEIA Sales in London employer: Apple
Apple is an exceptional employer that fosters a culture of collaboration and innovation, particularly in the EMEIA Sales team where Data Scientists play a pivotal role in driving AI adoption. With a commitment to employee growth, diverse perspectives, and accessibility, Apple provides a supportive environment for individuals passionate about AI and data science, offering opportunities to work on cutting-edge projects while contributing to meaningful solutions that enhance business operations. The company's dedication to inclusivity and continuous learning makes it an attractive place for those seeking a rewarding career in technology.
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, especially those in the Sales BPR team. 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, particularly with AI applications. This hands-on example can really impress during interviews.
✨Tip Number 3
Be ready to discuss real-world applications of AI. Brush up on how you've used machine learning to solve business problems before. It’s all about demonstrating your impact!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team.
We think you need these skills to ace Data Scientist, EMEIA Sales in London
Some tips for your application 🫡
Show Your Passion for AI:Make sure to highlight your genuine interest in AI and machine learning in your application. We love candidates who are curious and eager to learn, so share any projects or experiences that showcase your enthusiasm!
Tailor Your Application:Don’t just send a generic CV! Take the time to tailor your application to the Data Scientist role. Mention specific skills like SQL, Python, and your experience with LLMs that align with what we’re looking for.
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!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at Apple
✨Know Your Data Science Fundamentals
Brush up on your data science and machine learning fundamentals before the interview. Be ready to discuss how you've applied these concepts in real-world scenarios, especially in sales contexts. This will show your understanding of the role and your ability to contribute effectively.
✨Showcase Your Curiosity
Demonstrate your passion for AI and continuous learning during the interview. Share examples of recent AI technologies or frameworks you've explored, and how they could be applied to improve sales processes. This will highlight your proactive approach and genuine interest in the field.
✨Communicate Clearly with Non-Technical Stakeholders
Prepare to explain complex AI concepts in simple terms. Think of practical examples that can help non-technical team members understand AI applications. This skill is crucial for the role, as you'll need to bridge the gap between technical and non-technical teams.
✨Collaborative Mindset is Key
Emphasise your experience working in collaborative environments. Be ready to discuss how you've partnered with cross-functional teams to solve problems or implement solutions. This will demonstrate that you can thrive in a fast-paced, team-oriented setting, which is essential for this position.
