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- Tasks: Join us as a Data Scientist to develop AI solutions and drive business impact.
- Company: Be part of a leading company focused on innovative data science applications.
- Benefits: Enjoy flexible working options and a collaborative, tech-savvy environment.
- Why this job: Make a real difference with your skills while working on exciting AI projects.
- Qualifications: Master’s degree in a relevant field and strong machine learning expertise required.
- Other info: Ideal for those passionate about data science and eager to learn in a dynamic setting.
The predicted salary is between 43200 - 72000 £ per year.
Level: Manager
Experience: 4+ years
Role Overview: The Data Scientist - Commercial supports the Lead Data Scientist (Commercial) in delivering AI explorations identified via the AI Incubator process. This hands-on role requires expertise in different machine learning techniques and commercial data science models, to drive impactful business outcomes. Explorations will be scaled to products, which requires proficiency in programming languages such as PySpark and knowledge of cloud platforms.
Key Responsibilities:
- Develop and implement commercial data science solutions.
- Collaborate with business stakeholders to align AI initiatives with commercial objectives.
- Build and optimize commercial models and similar solutions to inform decision-making.
- Provide insights and recommendations based on statistical analysis and machine learning.
- Deploy solutions accordingly to CCEP standards for automation and productionizing.
Qualifications:
- Master’s degree in Statistics, Data Science, or a related field.
- Strong expertise in Machine Learning modelling and statistical techniques.
- Proficiency in R/Python, SQL, and cloud platforms (e.g., Databricks, Azure). PySpark will be valued.
- Experience in developing commercial data science applications.
- Strong communication skills for conveying technical insights to stakeholders.
Data Scientist - Commercial employer: Coca-Cola Europacific Partners
Contact Detail:
Coca-Cola Europacific Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Commercial
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and commercial data science. This will not only help you during interviews but also demonstrate your passion for the field and your commitment to staying updated.
✨Tip Number 2
Network with professionals in the data science community, especially those who work in commercial settings. Attend meetups or webinars where you can learn from their experiences and potentially get referrals.
✨Tip Number 3
Prepare to discuss specific projects where you've implemented machine learning solutions. Be ready to explain your thought process, the challenges you faced, and how your contributions led to successful outcomes.
✨Tip Number 4
Showcase your programming skills by working on personal projects or contributing to open-source initiatives. Highlight these experiences in conversations to illustrate your hands-on expertise with tools like PySpark and cloud platforms.
We think you need these skills to ace Data Scientist - Commercial
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, particularly focusing on machine learning techniques and commercial applications. Use specific examples that demonstrate your proficiency in programming languages like Python and SQL.
Craft a Compelling Cover Letter: In your cover letter, explain why you are interested in the Data Scientist - Commercial role. Discuss how your background aligns with the responsibilities outlined in the job description, especially your experience with AI initiatives and collaboration with stakeholders.
Showcase Relevant Projects: If you have worked on projects involving PySpark or cloud platforms like Azure, be sure to include these in your application. Detail your role in these projects and the impact they had on business outcomes.
Highlight Communication Skills: Since strong communication skills are essential for this role, provide examples of how you've successfully conveyed technical insights to non-technical stakeholders in your previous positions. This will demonstrate your ability to bridge the gap between data science and business objectives.
How to prepare for a job interview at Coca-Cola Europacific Partners
✨Showcase Your Technical Skills
Make sure to highlight your expertise in machine learning techniques and programming languages like Python and SQL. Be prepared to discuss specific projects where you've successfully implemented these skills, as this will demonstrate your hands-on experience.
✨Understand the Business Context
Familiarise yourself with the company's commercial objectives and how data science can drive those outcomes. During the interview, be ready to discuss how your work aligns with business goals and how you can contribute to their success.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think of examples where you've developed or optimised commercial models, and be ready to explain your thought process and the impact of your solutions.
✨Communicate Clearly and Effectively
Strong communication skills are essential for this role. Practice explaining complex technical concepts in simple terms, as you'll need to convey insights to stakeholders who may not have a technical background. This will show your ability to bridge the gap between data science and business.