Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and deliver data analytics solutions to drive business performance and strategic decisions.
- Company: Join Danone, a leader in health-focused nutrition and sustainability.
- Benefits: Competitive salary, bonuses, flexible benefits, and a commitment to your growth.
- Other info: Diversity and inclusion are at our core; we value every individual.
- Why this job: Shape the future of data science in a dynamic environment with real impact.
- Qualifications: Experience in Python, R, SQL, and machine learning; eager to learn and collaborate.
The predicted salary is between 35000 - 45000 ÂŁ per year.
About The Job Danone’s mission, “Bringing health through food to as many people as possible”, is at the heart of everything we do. In the UK&I, we are leveraging advanced analytics and data science to drive profitable, sustainable growth and support our One Planet, One Health vision. Our recent investments in cloud data platforms, analytics, and digital transformation are enabling us to deliver actionable insights, improve productivity, and accelerate our sustainability agenda. The Data & Analytics function is a greenfield opportunity, offering the chance to shape how data science drives business decisions at Danone UK&I.
Role Purpose Develop and deliver data analytics and science solutions that enable business performance management and strategic decision-making. Mine, extract, and transform data from Danone’s cloud datalake and other enterprise systems. Build, test, and deploy machine learning models to support commercial, operational, and sustainability objectives. Support the Director of Data & Analytics in developing proof-of-concept (PoC) projects, especially those that demonstrate the value of data science in digital, commercial, and financial domains.
Key Accountabilities & Deliverables
- Design, monitor, and manage performance and data quality KPIs across multiple functions.
- Develop and maintain dashboards and reports using Power BI, Tableau, and Python visualisation libraries (e.g., Matplotlib, Seaborn).
- Extract, clean, and transform data using Python (Pandas), R, and SQL, ensuring data integrity and traceability.
- Build and evaluate machine learning models for forecasting, classification, regression, and clustering tasks.
- Collaborate with business stakeholders to translate commercial and operational challenges into analytical questions and actionable insights.
- Document data provenance, sources, and recommended usage to support data governance and compliance.
- Design and create PoC AI and Generative AI solutions—including tools, intelligent agents, and predictive models—to enhance productivity, optimise workflows, and drive sustainable business growth.
Stakeholder Engagement Partner with commercial, operations, finance, and master data teams at both UK&I and global levels. Build analytical capability by delivering data science products, dashboards, ad hoc analyses, and PoC projects. Influence and support business teams in adopting data-driven decision-making.
Core Technical Skills Proficient in Python and/or R, with strong data wrangling skills (Pandas, NumPy). Advanced SQL skills for data extraction and transformation. Strong foundational understanding of key machine learning models (classification, regression, clustering). Data visualisation skills using Matplotlib, Seaborn, Power BI, and Tableau. Familiar with cloud platforms (Azure, AWS, GCP) and experience using data science tools such as Databricks and IDEs (e.g., VS Code, Jupyter). Experience with version control (Git) for collaborative development and reproducibility.
Critical Expertise Demonstrated experience (2-3 years, including internships or academic projects) in developing and deploying data science solutions that deliver business value. Strong statistical and analytical reasoning, including experience with model evaluation and validation. Ability to manage multiple priorities and deliver to tight deadlines in a matrix organisation.
About You Curious and eager to learn; open to feedback and continuous improvement. Strong theoretical knowledge of data science and machine learning principles. Team player with strong collaboration and communication skills. Problem-solving mindset, able to break down complex challenges and propose practical solutions. Confident in presenting data-driven insights and recommendations to both technical and non-technical stakeholders. Proactive, adaptable, and comfortable with ambiguity in a rapidly evolving environment. Committed to Danone’s mission and values, with an interest in sustainability and health-focused business.
Please note that the salary on offer for this position is between ÂŁ35,000 - ÂŁ45,000 + bonus & benefits.
About Us At Danone UK & Ireland, we are committed to delivering better health through better nutrition for millions of consumers and patients in our communities. We have a range of flexible benefits and excellent rewards. Diversity, Equity, and Inclusion (DEI) is deeply embedded in Danone's DNA, representing our core values and beliefs. We embrace diversity as a driving force for positive change, nurturing an inclusive workplace where every individual is valued. The closing date for applications is 10/01/26, you will therefore hear about your application after this date.
Data Science Analyst employer: Danone
Contact Detail:
Danone Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Analyst
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Danone through LinkedIn. A friendly chat can give us insider info on the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your data science skills. Make sure we can confidently discuss machine learning models and data visualisation tools like Power BI and Tableau. Practice explaining complex concepts in simple terms!
✨Tip Number 3
Showcase our passion for sustainability! Danone values health and sustainability, so let’s highlight any relevant projects or experiences that align with their mission during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can keep track of our application status easily!
We think you need these skills to ace Data Science Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Science Analyst role. Highlight your proficiency in Python, R, and SQL, and any relevant projects or internships that showcase your data wrangling and machine learning capabilities.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data science and how it can drive business decisions. Share specific examples of how you've used data analytics to solve problems or improve processes in previous roles or projects.
Showcase Your Projects: If you've worked on any data science projects, whether academic or personal, make sure to include them in your application. We love seeing practical applications of your skills, especially if they relate to sustainability or health-focused initiatives.
Apply Through Our Website: For the best chance of success, apply directly through our website. This ensures your application gets to the right people and shows us you're genuinely interested in joining our team at Danone UK&I.
How to prepare for a job interview at Danone
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around machine learning models and data wrangling techniques. Be ready to discuss your experience with Python, R, and SQL, as well as any projects you've worked on that demonstrate your skills.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex challenges in the past. Think of specific examples where you translated business problems into analytical questions and how your insights led to actionable outcomes. This will show your potential employer that you can think critically and deliver value.
✨Get Familiar with Their Tools
Since Danone uses tools like Power BI, Tableau, and cloud platforms, it’s a good idea to familiarise yourself with these technologies. If you have experience with them, be ready to share how you've used them in previous roles or projects to create impactful data visualisations.
✨Emphasise Collaboration and Communication
As a Data Science Analyst, you'll need to work closely with various teams. Highlight your teamwork experiences and how you've effectively communicated complex data insights to both technical and non-technical stakeholders. This will demonstrate your ability to influence and support data-driven decision-making across the organisation.