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Data Science Analyst

  • United Kingdom
  • London
  • Hybrid
  • Permanent Full-Time
  • Posted: 23 Dec 2025
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Data Science Analyst

About the job

Introduction & Job Detail:

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:

Mission of the Role

The Data Science Analyst will:

  • 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

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 £35,000 - £45,000 + bonus & benefits 

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About Danone

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, click here to find out more: https://careers.danone.com/uki/en/Why-Danone/our-learning---rewards.html

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

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