At a Glance
- Tasks: Lead impactful AI and data science projects while mentoring a high-performing team.
- Company: Join Coca-Cola Europacific Partners, a global leader in beverages with 42,000 passionate team members.
- Benefits: Competitive salary, career growth opportunities, and the chance to work on innovative projects.
- Other info: Be part of a company that delights 600 million customers daily with innovative products.
- Why this job: Shape the future of data science in a dynamic environment and make a real impact.
- Qualifications: Master's or PhD in relevant fields with extensive experience in data science leadership.
The predicted salary is between 70000 - 90000 £ per year.
We are Coca-Cola Europacific Partners (CCEP) – a dedicated team of 42,000 people, serving customers in 31 markets, who work together to make, move and sell some of the world's most loved drinks.
We are looking for an experienced and forward-thinking Lead Data Scientist to drive impactful data science and AI initiatives. Working closely with senior stakeholders, you will help define, prioritise, and deliver high-value AI and data science projects that align with business goals. You will also play a key role in building and mentoring a high-performing team while championing best practices and innovation across the function.
- Lead the end-to-end development and delivery of AI and data science projects, ensuring alignment with business priorities.
- Partner with stakeholders to scope, prioritise, and advance initiatives through structured processes such as an AI incubator.
- Manage and mentor a small team of data scientists (internal and third-party), supporting both their technical and professional growth.
- Take ownership of solution adoption, including production handovers and ongoing model performance monitoring.
- Design and implement forward-looking AI proof-of-concepts, contributing hands-on to development where needed.
- Drive innovation and best practices in machine learning, analytics, and data science delivery.
Qualifications:
- Master's or PhD in Computer Science, Data Science, Machine Learning, or a related field.
- Extensive experience leading data science and AI initiatives in complex environments.
- Deep expertise in machine learning, statistical modelling, and business analytics.
- Strong leadership, stakeholder management, and communication skills, with the ability to influence across all levels.
- Experience within FMCG or a similar fast-paced industry is highly advantageous.
- Advanced proficiency in Python, SQL, and cloud platforms such as Azure or Databricks.
We help our 2.1 million customers grow, and we are constantly investing in exciting new products, innovative technologies and fresh ideas. This helps us to delight the 600 million people who enjoy our drinks every day.
Contact Details:
Coca-Cola Europacific Partners Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist (Associate Director) in England
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We think you need these skills to ace Lead Data Scientist (Associate Director) in England
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Coca-Cola Europacific Partners, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Coca-Cola Europacific Partners. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
