National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

R&D Business Analyst

Mondelez International
Birmingham
8 months ago
Applications closed

Related Jobs

View all jobs

Data Governance Specialist

R&D Senior Data Scientist

R&D Senior Data Scientist

Data Engineer

Senior Data Analyst

Marketing Data Analyst

Are You Ready to Make It Happen at Mondelez International? Join our Mission to Lead the Future of Snacking. Make It With Pride. You will play a key role in bridging the gap between research & development (R&D) data and business insights. You will collaborate with cross-functional teams to assess business needs, analyse data, and recommend actionable solutions to drive operational efficiency and support strategic decision-making. You will work with various stakeholders within R&D to ensure data-driven approaches are effectively utilized for enhancing processes and maximizing business value. How you will contribute You will: - Partner with R&D teams and cross-functional stakeholders to gather and analyse business requirements, translating them into actionable insights. - Collaborate with R&D and IT to ensure that business needs are being met through efficient data processes, models, and systems. - Help to create reports and dashboards that provide clear, concise insights to non-technical stakeholders, helping them make informed decisions. - Assist in the evaluation and implementation of automation tools and platforms that can streamline business operations within R&D. - Work with R&D to ensure that data solutions are aligned with broader organizational strategies and best practices. - Identify opportunities for process improvement and contribute to enhancing organizational efficiency and productivity. What you will bring - Experience in gathering and translating business requirements into data-driven solutions. - Proficiency in writing user stories and facilitating user feedback loops. - Assisting with facilitating workshops and kick off meetings across multiple internal teams. - A good understanding of data analysis techniques and tools to derive actionable insights. - Ability to work collaboratively with cross-functional teams, including R&D and IT - Analytical and problem-solving skills, with a keen attention to detail. - Excellent communication skills, with the ability to present complex data insights to both technical and non-technical audiences. - A proactive mindset, with a passion for identifying opportunities for improvement and driving efficiency. - A passion for making better use of data. - A desire to drive your future and accelerate your career. More About This Role What extra ingredients you will bring: - A passion for turning data into actionable insights that drive business decisions. - A collaborative spirit and a desire to work closely with R&D teams to improve business processes. - Enthusiasm for learning new tools and staying updated on industry trends. Education/Certifications: A BS degree in a relevant field such as Business, Data Science, Computer Science, Mathematics, or a related discipline. Job specific requirements: - Proven experience as a business analyst, data analyst, or in a similar role. - Strong interpersonal skills, with the ability to collaborate across various teams and functions. - Excellent time management skills, with the ability to manage multiple tasks and priorities effectively. - Experience working in a research and development (R&D) environment is a plus. - Familiarity with data analytics and visualization tools (e.g., Excel, Power BI is a plus) - Commitment to continuous learning and staying up-to-date on best practices in data analysis and business processes. No Relocation support available Business Unit Summary At Mondelez International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about. We have a rich portfolio of strong brands globally and locally including many household names such as Oreo , belVita and LU biscuits; Cadbury Dairy Milk , Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum. Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen-and happen fast. Mondelez International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Job Type Regular Data Science Analytics & Data Science At Mondelez International, our purpose is to empower people to snack right through offering the right snack, for the right moment, made the right way. That means delivering a broader range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about. We have a rich portfolio of strong brands - both global and local. Including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the number 1 position globally in biscuits, chocolate and candy as well as the No. 2 position in gum Our 80,000 Makers and Bakers are located in our operations in more than 80 countries and are working to sell our products in over 150 countries around the world. They are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen, and happen fast. Join us and Make It An Opportunity Mondelez Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact 847-943-5460 for assistance.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.