HR Business Partner

Filton
1 month ago
Applications closed

Related Jobs

View all jobs

HR Business Partner

Head of Learning and Development

Head of Learning and Development

Finance Business Partner

HR Business Intelligence Analyst

Data Analyst/ Consultant (MS Excel, Data Mapping)

We are pleased to have the opportunity to recruit a Human Resources Business Partner to be part of our Filton HR team. We are a very supportive and collaborative team, we all have very different customers but come together for events, knowledge sharing, co-dev and a bit of fun.

You are an HR consultant in how you partner with, listen to and advise your business area.

You also ensure that HR policies are applied and that HR processes are implemented effectively and consistently in the business area in line with local legislation and global HR strategy.

Responsibilities

Becoming a true partner to the business and advising managers in their management roles in line with HR strategy
Working with managers and employees to drive the human aspect of change and championing our values at Airbus
Establishing a two-way information flow with the business and the Centres of Expertise: ensuring management awareness for HR policies and providing input on business needs to the Centres of Expertise
Providing managers with HR tools and practices for managing all HR-related processes
Supporting and challenging managers on the qualitative and quantitative aspects of resource planning (skills, headcount planning), internal and external mobility/recruitment and contributing to the staffing plan
Advising and coaching managers and employees on career development, supporting the deployment and integration of people development, remuneration and talent management processes, supporting team and focus reviews
Ensuring effective employee relation solutions within existing local employee relation policy and practiceSkill Set

Essential

A high level of emotional intelligence as well as good listening and coaching skills
Generalist HR knowledge with good change management competencies
A highly proactive mindset, the ability to anticipate and address business issues and offer solutions to managers
The ability to work autonomously whilst connecting with, influencing and challenging your business
Proficient conflict management, teamwork and collaboration skills
Employee relations experienceDesirable

CIPD or equivalent

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Jobs

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.

Jobs

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Jobs

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.