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

Apply Now

Industry 4.0 Sr Application Developer

Lear Corporation
Coventry
6 months ago
Applications closed

Related Jobs

View all jobs

DS&A Data Strategy and Transformation Manager

Systems Admin, Global Data Analytics (GDA)

Sr. Data Scientist - Advanced AI Research & Next-Gen ML (Remote, GBR)

Sr. Business Intelligence Analyst

Site Data Integrity Lead

Site Data Integrity Lead

Industry 4.0 Sr Application Developer


Driving the future of automotive. We’re Lear For You.


Company Overview


Lear, a global automotive technology leader in Seating and E-Systems, enables superior in-vehicle experiences for consumers around the world. Our diverse team of more than 165,000 talented employees in 37 countries is driven by a commitment to innovation, operational excellence, and sustainability. Lear is Making every drive better™ by providing the technology for safer, smarter, and more comfortable journeys. Lear, headquartered in Southfield, Michigan, serves every major automaker in the world and ranks #186 on the Fortune 500. Further information about Lear is available at lear.com, or follow us on Twitter @LearCorporation



Position overview:


As an Sr Application Developer, you will be working with colleagues focused on understanding the operational Use Cases, Data scientists using ML models to deliver solutions to support business decisions and the data engineers to deliver an end-end solution. As a UI Application Developer, you will be responsible for the development of User Interface providing data visualizations to help with business operations and decision making. You will have an eye for good user design and usability with a focus on developing tools for manufacturing operations.



Key Responsibilities:



  • Manage the execution of data-focused projects within the EU&AF AME team, utilizing Lear’s data analytics and application platform.
  • Participate in multiple projects from their inception, contributing to defining the problem statement.
  • Develop a standardized toolset across Lear for analyzing and presenting data effectively to senior management.
  • Understand data and contextualize statistical information to highlight trends and patterns from diverse data sources.
  • Transform technical data into understandable insights, providing recommendations and conclusions to stakeholders.
  • Create interactive dashboards that merge visuals with real-time data to facilitate decision-making.
  • Understand the phases of program and product delivery, offering expert analysis throughout the lifecycle.
  • Work with both new and legacy technologies to integrate separate data feeds and transform them into scalable datasets.
  • Ensure documentation and procedures align with internal practices (ITPM) and Sarbanes Oxley requirements, continually enhancing them.
  • Optimize system performance for all hardware and technology resources deployed.




Key skills and Qualifications:


Required:

  • Bachelor’s degree in Computer Science, Electronics, Systems/Software Engineering, or equivalent.
  • Experience in integrated application development teams.
  • Proficiency in business analysis and requirements analysis.
  • Familiarity with Agile frameworks.
  • Knowledge of Low-Code UI and API Development.
  • Experience in developing UI from data pipelines.
  • Proficiency in data mining methods, data tools, and operational visualization of data.
  • Experience in building and supporting data-driven applications.
  • Familiarity with HTML/CSS Application Development Platforms.
  • Strong SQL skills.
  • Proficiency in English language, spoken and written



Preferred:

  • 3-5 years of experience in multinational organizations with international, cross-functional teams.
  • 2-5 years of experience in data engineering or optimization for high-volume manufacturing operations.
  • UI design experience for appealing aesthetics and user experience.
  • Experience in working with data for machine learning applications and providing visualization methods to support these tools.
  • Knowledge of architectural patterns for efficient UI development and execution.
  • Experience with the Power Bi platform.



Why Lear


We offer a fantastic place to work, opportunity to grow and being part of a company who places its people first.



Lear Corporation is an Equal Opportunity Employer, committed to a diverse workplace.


Applicants must submit their resumes for consideration using our applicant tracking system. Due to the high volume of applications received, only candidates selected for interviews will be contacted. Unsolicited resumes from search firms or employment agencies, or similar, will not be paid a fee and will become the property of Lear Corporation.

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.

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.

Top 10 Skills in Data Science According to LinkedIn & Indeed Job Postings

Data science isn’t just a buzzword — it’s the engine powering innovation in sectors across the UK, from finance and healthcare to retail and public policy. As organisations strive to turn data into insight and action, the need for well-rounded data scientists is surging. But what precise skills are employers demanding right now? Drawing on trends seen in LinkedIn and Indeed job ads, this article reveals the Top 10 data science skills sought by UK employers in 2025. You’ll get guidance on showcasing these in your CV, acing interviews, and building proof of your capabilities.

The Future of Data Science Jobs: Careers That Don’t Exist Yet

Data science has rapidly evolved into one of the most important disciplines of the 21st century. Once a niche field combining elements of statistics and computer science, it is now at the heart of decision-making across industries. Businesses, governments, and charities rely on data scientists to uncover insights, forecast trends, and build predictive models that shape strategy. In the UK, data science has become central to economic growth. From the NHS using data to improve patient outcomes to financial institutions modelling risk, the applications are endless. The UK’s thriving tech hubs in London, Cambridge, and Manchester are creating high demand for data talent, with salaries often outpacing other technology roles. Yet despite its current importance, data science is still in its infancy. Advances in artificial intelligence, quantum computing, automation, and ethics will transform what data scientists do. Many of the most vital data science jobs of the next two decades don’t exist yet. This article explores why new careers are emerging, the roles likely to appear, how current jobs will evolve, why the UK is well positioned, and how professionals can prepare now.