Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Placement Student - Packaging Data Analyst

Cummins Inc.
Daventry
1 year ago
Applications closed

Related Jobs

View all jobs

Data Science Industrial Placement Student - Quantitative Clinical Pharmacology

Data Science Industrial Placement Student - Quantitative Clinical Pharmacology

Data Science Industrial Placement Student - Quantitative Clinical Pharmacology

Data Science Industrial Placement Student

Data Science Industrial Placement Student

Data Science Industrial Placement Student

DESCRIPTION

PLACEMENT STUDENT Packaging Data Analyst

We are looking for an enthusiastic Packaging Data Analyst Student to join our team specializing in Logistics for our Corporate/CBS Segment in Daventry. During your placement with us, you will learn how a major global organization operates, gaining the tools and exposure you will need to become an expert in the industry and power your potential!

This role is available to candidates who qualify for a placement year and will commence7thJuly 2025.

RESPONSIBILITIES

In this role, you will make an impact in the following ways:

Packaging Data Collection and Analysis from external suppliers and other Cummins sites, work with global supply chain partners on environmental packaging improvement

Create reports and visualizations to understand supplier packaging data.

Data Quality Improvement: Work with the data quality team to address gaps and improve the data collection process.

Stakeholder Collaboration: Collaborate with external stakeholders to understand their packaging data needs and provide relevant insights.

Data Monitoring and Cleaning: Monitor, audit, and clean data to ensure accuracy and reliability.

Performance Monitoring: Build and monitor key performance indicators (KPIs) and reports related to packaging performance.

QUALIFICATIONS

To be successful in this role you will need the following:

Working towards a degree in Business/Data Science/Supply Chain/Statistics/Business Analytics or related area.

Excellent IT skills, particularly in Excel, Excel Macros, PowerPoint, PowerBI, and Python.

Previous experience as a data analyst.

Positive attitude, strong personal motivation; being proactive in a dynamic working environment.

Working at Cummins

At Cummins, we are dedicated to diversity in the workplace and our policy is to provide equal employment opportunities to all qualified persons without regard to race, gender, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity, and/or expression or other status protected by law.

CLOSING DATE: (Monday, 4 th November 2024 11:59pm)

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 Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.