Senior Data Scientist - Commercial

Coca-Cola Europacific Partners
Uxbridge
6 days ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

SENIOR DATA SCIENTIST - Computer Vision / Generative AI HYBRID

Senior Data Scientist (GenAI)

Senior Data Scientist (MLOps)

Senior Data Scientist/ Senior Risk Scientist

Senior Data Scientist

Are you looking for new challenges and personal growth within Coca-Cola Europacific Partners? Then we have a great opportunity for you!
Do you have a personality with the power to influence and connect?
Can you sustain the pace to keep on growing?
Will you make an impact with your desire to win?

Role Overview:

The Data Scientist - Commercial (Bayesian Focus) supports the Lead Data Scientist (Commercial) in delivering AI explorations identified via the AI Incubator process.

This hands-on role requires expertise in Bayesian techniques and commercial data science models, such as market mix modelling, to drive impactful business outcomes.

 

Key Responsibilities:

· Develop and implement commercial data science solutions using Bayesian methodologies.

· Collaborate with business stakeholders to align AI initiatives with commercial objectives.

· Build and optimize market mix models and similar solutions to inform decision-making.

· Provide insights and recommendations based on statistical analysis and machine learning.

· Stay abreast of advancements in Bayesian modelling and its commercial applications.

 

Qualifications:

· PhD or Master’s degree in Machine Learning, Data Science, or a related field.

· Strong expertise in Bayesian modelling and statistical techniques.

· Proficiency in R, Python, SQL, and cloud platforms (e.g., Databricks, Azure).

· Experience in developing market mix models and other commercial data science applications.

· Strong communication skills for conveying technical insights to stakeholders.

We are Coca-Cola Europacific Partners (CCEP) – a dedicated team of 42,000 people, serving customers in 31 countries, who work together to make, move and sell some of the world’s most loved drinks.
We are a global business and one of the leading consumer goods companies in the world. 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.

From gender, age and ethnicity to sexual orientation and different abilities, we welcome people from all walks of life and empower unique perspectives. We recognise we’ve got some way to go, but we’ll get there with the support of our people. It’s them who drive our future growth. To find out more about what it’s like to work at and our culture we would welcome you to speak to one of our employees on our live chat platform, just click here to speak to an insider

We recognise some people prefer not to participate in alcohol related sales, interactions, or promotions. If that’s true for you – please raise this with your talent acquisition contact who will advise you on whether this role includes activities related to our alcohol portfolio.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Machine Learning Leadership for Managers: Strategies to Motivate, Mentor, and Set Realistic Goals in Data-Driven Teams

Machine learning (ML) has become an indispensable force in the modern business world, influencing everything from targeted marketing campaigns to advanced medical diagnostics. As industries integrate predictive algorithms and data-driven decision-making into their core operations, the need for effective leadership in machine learning environments has never been greater. Whether you’re overseeing a small team of data scientists or spearheading an enterprise-scale ML project, your leadership style must accommodate rapid innovation, complex problem-solving, and diverse stakeholder expectations. This guide provides actionable insights into how you can motivate, mentor, and establish achievable goals for your machine learning teams—ensuring they thrive in data-driven environments.

Careers Jobs

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.

Careers

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.