At a Glance
- Tasks: Lead data-driven projects to solve supply chain challenges and enhance performance.
- Company: Join Coca-Cola Europacific Partners, a leader in innovation and collaboration.
- Benefits: Competitive salary, inclusive culture, and opportunities for personal growth.
- Other info: Collaborative environment with a focus on continuous learning and development.
- Why this job: Make a real impact by transforming complex data into actionable insights.
- Qualifications: Master's degree in a quantitative field and 4+ years in Data Science.
The predicted salary is between 60000 - 80000 £ per year.
Are you looking for new challenges and personal growth within Coca-Cola Europacific Partners? Then we have a great opportunity for you! Find out if this opportunity is a good fit by reading all of the information that follows below.
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?
Are you passionate about using data to solve complex business challenges? We're looking for a Data Scientist Manager to join our team and play a key role in developing innovative, data-driven solutions that enhance supply chain performance. This is an exciting opportunity for an analytically minded professional with a strong foundation in statistics and experience applying advanced modelling techniques to real-world business problems.
Working closely with cross-functional stakeholders, you will leverage statistical modelling, machine learning, and predictive analytics to improve forecasting accuracy, optimise inventory, and drive operational efficiency.
Key Responsibilities:- Apply statistical modelling and machine learning techniques to address supply chain challenges, including demand forecasting, inventory optimisation, and replenishment planning.
- Develop, test, validate, and deploy predictive models using robust statistical methodologies, including regression analysis, time series forecasting, and Bayesian approaches.
- Partner with supply chain stakeholders, including demand planners and inventory managers, to translate business requirements into actionable analytical solutions.
- Analyse large and complex datasets to uncover insights that improve service levels, reduce costs, and optimise inventory performance.
- Contribute to the design and development of scalable data science solutions within cloud-based environments such as Databricks and Azure.
- Present findings, insights, and recommendations clearly to both technical and non-technical audiences.
- Support the ongoing development and advancement of data science capabilities across the organisation.
- Master's degree in Statistics, Econometrics, Mathematics, or a related quantitative discipline.
- Minimum of 4 years' experience in a Data Science, Advanced Analytics, or similar role.
- Strong understanding of statistical concepts, including: Probabilistic modelling, Statistical inference, Time series analysis, Forecasting methodologies.
- Proficiency in Python or R for data analysis, modelling, and machine learning.
- Experience applying analytics within a supply chain environment.
- Strong analytical thinking and problem-solving abilities with a focus on methodological rigour.
- Excellent communication and stakeholder engagement skills.
- Ability to collaborate effectively within cross-functional teams.
Why Join Us? You'll have the opportunity to work on impactful projects that directly influence business performance and decision-making. Joining our team means being part of a collaborative environment where innovation, continuous learning, and data-driven thinking are valued and encouraged.
If you're excited about transforming complex data into meaningful business outcomes and want to make a tangible impact within supply chain operations, we'd love to hear from you.
If this role is of interest to you please upload a recent copy of your CV and a member of the Talent Acquisition team will be in touch.
We believe that equal opportunities means inclusion, diversity and fair treatment for all. We aim to make our recruitment process as comfortable and accessible as possible and would appreciate it if you would advise us of any particular requirements, adjustments or requests you may have to help us ensure that your experience is enjoyable.
Contact Details:
Coca-Cola Europacific Partners Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist Manager in England
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We think you need these skills to ace Data Scientist Manager 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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✨Brush Up on Your Statistics
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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.
