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- Tasks: Analyse data to drive pricing strategies and support decision-making.
- Company: Join Costa Coffee, part of the Coca-Cola family, on a mission to innovate coffee experiences.
- Benefits: Enjoy competitive pay, share ownership, bonuses, and discounts at Costa stores.
- Other info: Flexible working arrangements and exciting career growth opportunities await you.
- Why this job: Make a real impact in a fast-paced environment while working with cutting-edge data tools.
- Qualifications: Experience in data science, strong programming skills, and a curious mindset.
The predicted salary is between 40000 - 50000 ÂŁ per year.
At Costa Coffee, we’re on a mission to reimagine coffee experiences across the globe. From bustling cities to local communities, we’re creating meaningful coffee moments, powered by innovation and driven by purpose.
We are on the lookout for an experienced Data Science Analyst with demonstrable experience of Data Science and Machine Learning to harness the potential of our brand new cutting‑edge pricing tool, empowering our Global markets with insightful analysis. We seek a unique combination of technical competence using data analysis tools and programming languages with a natural flair for providing data and insight for decision making. You will infuse magic and creativity to support the business in driving forward decisions around pricing and promotions.
We value curiosity, inclusivity, and a problem‑solving mindset. If you thrive in a fast‑paced, global environment and are excited to make a meaningful impact, we encourage you to apply.
What you’ll do
- Responsible for collecting, cleaning, modelling, analysing and reporting data from various sources, as well as creating data visualisations and dashboards to communicate your findings.
- Performing exploratory and descriptive data analysis to identify patterns, trends, outliers, and anomalies.
- Applying statistical and machine‑learning techniques to build predictive and prescriptive models and test hypotheses.
- Using feature engineering to create new data points that leverage the data to the best of our ability.
- Communicating data findings and insights to internal and external stakeholders using clear and concise language and storytelling.
Who you are
- Proven experience in marketing, consumer, or data science analytics roles, ideally within Retail, QSR, or Consumer Services.
- Strong academic background in statistics, mathematics, computer science, engineering, or equivalent practical experience.
- Advanced programming skills (e.g. PySpark, SQL, Python) with the ability to develop and deploy production‑level models and code.
- Experience with the Azure ecosystem (e.g. Azure Databricks, Azure DevOps) and containerisation tools like Docker is highly desirable.
- Curious, analytical and solutions‑focused mindset. Comfortable navigating complexity, able to juggle large datasets, interrogate what the data is signalling, and proactively identify risks and opportunities.
So, why Costa?
- Own a piece of Costa’s success by becoming a share owner in Coca‑Cola with our Share Investment Plan (SIP).
- An annual discretionary bonus scheme, based on business results and individual contribution.
- A smart pension that saves you money on tax and national insurance, and matches your contributions up to 10%.
- The Costa Financial Support Fund, supporting team members who find themselves in unexpected financial pressure.
- 50% discount in all Costa‑owned stores, and 25% off in other participating stores.
- Private medical cover thanks to our Private Healthcare scheme.
Location – Where you’ll work
Right now, our Support Centre teams work flexibly, blending home working with in‑person time whenever it matters most – whether that’s a team moment, a creative session, or simply coming together to share ideas.
We’re excited to be moving into a new home for our brand in St Albans in January 2027 – an inspiring space from which our Support Centre teams will work three days a week to connect and collaborate in‑person to bring our bold ambition to life.
Data Science Analyst - Revenue Growth Management employer: Costa Limited
Contact Detail:
Costa Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Analyst - Revenue Growth Management
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Costa Coffee on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data analysis projects, especially those involving machine learning. This will help us see your practical experience in action.
✨Tip Number 3
Practice your storytelling! When you get that interview, be ready to explain your data findings clearly and concisely. We want to see how you can communicate complex insights to different audiences.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you’re genuinely interested in being part of the Costa Coffee family.
We think you need these skills to ace Data Science Analyst - Revenue Growth Management
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Science Analyst role. Highlight your experience with data analysis tools and programming languages, as well as any relevant projects that showcase your skills in machine learning and statistical techniques.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share your passion for data science and how you can contribute to our mission at Costa Coffee. Don’t forget to mention specific examples of your past work that align with the job description!
Showcase Your Problem-Solving Skills: In your application, emphasise your analytical mindset and problem-solving abilities. We love candidates who can navigate complexity and identify opportunities within data, so share examples of how you've done this in previous roles.
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 the role. Plus, it shows us you’re keen on joining our team at Costa Coffee!
How to prepare for a job interview at Costa Limited
✨Know Your Data Science Tools
Make sure you brush up on your programming skills, especially in PySpark, SQL, and Python. Be ready to discuss how you've used these tools in past projects, particularly in building predictive models or data visualisations.
✨Showcase Your Analytical Mindset
Prepare examples that highlight your problem-solving abilities. Think of times when you identified patterns or trends in data that led to actionable insights. This will demonstrate your analytical prowess and how it can benefit the company.
✨Communicate Clearly
Practice explaining complex data findings in simple terms. Costa Coffee values storytelling with data, so be ready to share how you've effectively communicated insights to stakeholders in the past.
✨Emphasise Your Curiosity
Costa is looking for someone with a curious mindset. Be prepared to discuss how you stay updated with industry trends and how your curiosity has driven you to explore new data techniques or tools in your previous roles.