Data Science Analyst - Revenue Growth Management
St Albans City Station, Station Way, St Albans AL1 5HE, UK
Job Description
Data Science Analyst- Revenue Growth Management, Permanent
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.
As a proud part of the Coca‑Cola system and working hand in hand with our pioneering partners, we’re in over 50 countries and counting. Whether it's served in-store, from a machine, at home, or on the go, every cup is thoughtfully crafted by our passionate teams who put heart into every moment.
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
Being a Data Science Analyst is about so much more than bringing our coffee to the world. It’s your chance to stir up real success – which means you’ll be:
* 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
It’s your unique ingredients we’re interested in:
* 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?
We provide a supportive environment with many benefits, including:
* 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.
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