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: Flexible hours, competitive pay, 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 and strong analytical skills required.
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 employer: Apple
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, coupled with our supportive culture, ensures that you will feel valued and empowered to make a difference.
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 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
Prepare for interviews by practising common questions and scenarios related to data science and AI. We recommend doing mock interviews with friends or using online platforms to get comfortable with articulating your thoughts.
✨Tip Number 3
Showcase your passion for AI and data science during interviews. Share personal projects or experiences that highlight your skills and curiosity. This will help you stand out as someone who genuinely loves what they do!
✨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 our team!
We think you need these skills to ace Data Scientist, EMEIA Sales
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI and machine learning shine through. We want to see how your curiosity drives you to explore new technologies and solve real-world problems.
Tailor Your Experience:Make sure to highlight your relevant experience in data science and analytics. We love seeing how you've applied your skills in previous roles, so be specific about the projects you've worked on and the impact they've had.
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 your application to show us how you can bridge that gap and help others understand AI concepts.
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Apple
✨Know Your AI Stuff
Make sure you brush up on the latest AI technologies and machine learning fundamentals. Be ready to discuss how you've applied these in past projects, especially in a sales context. This will show your genuine passion for AI and your ability to translate complex concepts into practical solutions.
✨Showcase Your Collaboration Skills
Since this role involves working closely with both technical and non-technical stakeholders, prepare examples of how you've successfully collaborated in the past. Highlight your interpersonal skills and your ability to support others in understanding AI technologies.
✨Demonstrate Problem-Solving Prowess
Be ready to discuss specific instances where you've analysed data to identify trends or solve business problems. Use concrete examples that showcase your analytical skills and how you've turned insights into actionable strategies, particularly in a sales environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects and challenges. This not only shows your interest in the role but also demonstrates your proactive approach to understanding how you can contribute to their success. It’s a great way to engage with your interviewers and leave a lasting impression.
