Data Scientist in Burton Latimer

Data Scientist in Burton Latimer

Burton Latimer Full-Time 49500 - 60500 £ / year (est.) Home office (partial)
Weetabix

At a Glance

  • Tasks: Transform data into actionable insights and improve decision-making across teams.
  • Company: Join Weetabix, a diverse and inclusive workplace committed to innovation.
  • Benefits: Competitive salary, flexible work, annual leave, and personal development opportunities.
  • Other info: Collaborative environment with excellent career growth and support for personal wellbeing.
  • Why this job: Be part of an exciting growth journey and make a real impact with data.
  • Qualifications: Experience in data analytics, strong Excel skills, and knowledge of visualisation tools.

The predicted salary is between 49500 - 60500 £ per year.

  • Description
  • Data Scientist x4 - FTC

At Weetabix, we believe that diverse teams drive better ideas, stronger decisions, and a more inclusive workplace for everyone .

We’re committed to building an organisation where people from all walks of life feel they belong—where different voices, experiences, and backgrounds are valued and respected.

Closing date

20th August 2026

Interview process

1st Stage Interview followed by a Practical Assessment, with an Onsite interview.

Working pattern

You’ll spend three days a week in the office, creating great opportunities to collaborate, strengthen team connections and build high‑impact working relationships face to face.

We’re happy to make reasonable adjustments throughout the recruitment process. Just let us know how we can support you.

This is a newly formed role as part of our growth journey at Weetabix.

The 4 successful candidates will be assigned a particular function working within that team to make a difference, however it will be critical to work across the data science team to agree best practice and share learnings as we go.

It's an exciting time to join the business with a big ambition.

Candidate with a preference for a particular function should mention it in the application (Finance, Supply Chain, Commercial, Manufacturing) or we will assign that after a successful recruitment process.

The Recipe (About the Role)

The purpose of this role is to lead the conversion of data into meaningful, actionable insights that improve decision-making, performance and operational efficiency.

The role is responsible for ensuring data for the function assigned is accurate, available and trusted, establishing the processes and governance that underpin strong data quality, and developing intuitive reporting and visualisation tools such as Tableau, Sigma, Excel or Power BI so colleagues can easily access the insight they need.

This role will be the first point of contact for data and reporting queries and will attempt to resolve them either by self or working with the IT department and other reporting roles in the business.

  • Collect, cleanse and interpret data from multiple sources to create reliable reporting.
  • Turn complex datasets into clear insights, trends and recommendations that support better operational and strategic actions.
  • Design, build and maintain dashboards, scorecards and visual tools, including Tableau or Sigma, to enable self-service access to data across the business.
  • Establish and continuously improve processes, controls and governance to ensure data accuracy, consistency, completeness and availability.
  • Define and standardise key performance metrics and reporting definitions to create a single source of truth.
  • Work closely with Supply Chain, Operations, Commercial, IT, Finance and other stakeholders to understand reporting needs and translate them into practical data solutions.
  • Identify risks, inefficiencies and opportunities through inspections, helping teams improve service, inventory, cost and overall performance.
  • Help ongoing automation and simplification of reporting processes, reducing manual effort and improving accessibility of insight.
  • Drive and measure adoption of self-service questioning through training, coaching and stakeholder engagement.
  • The Ingredients (What we need from you)

Key Know How

  • Experience in a data, analytics or business intelligence role.
  • CPG or FMCG related environment is preferable but not essential.
  • Strong ability to analyse, structure and interpret large and complex datasets.
  • Experience of building dashboards and reporting tools using Tableau/ Sigma/ Power BI or similar visualisation platforms.
  • Good understanding of data governance, data quality, process control and reporting accuracy.
  • Experience of working with ERP or operational systems and linking data from multiple sources.
  • Strong Excel capability and, ideally, working knowledge of SQL or other data querying tools.
  • Ability to communicate insight clearly and influence judgement at different levels of the organisation.
  • Knowledge of business processes, measures and performance drivers would be advantageous.
  • Degree-level qualification or equivalent experience in Data, Analytics, Accounting, Business or a related field preferred.
  • Your Bowl of Perks (Benefits)
  • Competitive Salary & Annual Flexible benefits

We offer a competitive salary and a comprehensive benefits package designed to support your wellbeing, career, and life outside work.

  • Annual bonus
  • Double-matched pension scheme (up to 12% from us)
  • 25 days annual leave increasing with service
  • Annual Salary review
  • Healthcare plan
  • Discounted Weetabix products

To support our employees, we also offer

  • Continued investment in your personal development
  • We believe in balance, whether it's for family, rest or simply time for you. As well as your holiday entitlement, you can purchase up to 5 days of additional annual leave
  • Access to 24/7 counselling service (via Grocery Aid partnership)
  • The freedom of Flexible Work Opportunities
  • Enhanced Maternity / Paternity / Adoption Leave
  • Additional Time Off for Fertility Treatment and Neonatal Care
  • Working Parents Support Group
  • Fully stocked kitchens filled with our delicious products for you to enjoy

To learn more about life at Weetabix, visit our careers page

https://careers. weetabixfoodcompany. co. uk/

Please note: We benchmark roles based on your skills and experience, so we do not advertise fixed salary ranges.

Unfortunately, we are unable to provide sponsorship for this position; therefore, we are seeking candidates who do not require sponsorship.

We utilise our Preferred Agency Supplier Partners as and when we require additional support

#Have You Had Your Weetabix

Data Scientist in Burton Latimer employer: Weetabix

Weetabix is an excellent employer that values innovation and collaboration, making it an ideal place for a Boomi & API Integration Specialist. With a strong focus on personal development and work-life balance, employees enjoy flexible benefits and a supportive work culture that encourages growth within the fast-paced FMCG sector. Located in a vibrant area, Weetabix offers unique opportunities to engage with diverse teams and contribute to impactful projects.

Weetabix

Contact Details:

Weetabix Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist in Burton Latimer

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Apply Directly through Our Website

When you find a suitable opening like Data Scientist at Weetabix, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Scientist in Burton Latimer

Data Analysis
Data Visualisation
Tableau
Power BI
Sigma
SQL
Excel

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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Craft a Tailored Cover Letter:For a full-time role at Weetabix, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Weetabix. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Weetabix

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Weetabix!

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.