Manager - Advanced Analytics & Insight

VIRGIN ATLANTIC LIMITED
Crawley
8 months ago
Applications closed

Related Jobs

View all jobs

Manager (Data Science)

Product Manager – Smart Diagnostics & Digitalization

Product Manager – Digitalization

Product Manager – Digitalization

BI Manager/ Platforms Engineering Manager

Research Manager (Quantitative)

Job Details Salary: Competitive Hours: Full Time Location: Hybrid working -The VHQ Crawley Contract: Permanent Closing Date: 25th September 2024 In a nutshell Are you ready to lead the charge in turning data into actionable insights at Virgin Atlantic? As the Manager - Advanced Analytics & Insight, you will develop and implement analytical strategies that align with business objectives, collaborating closely with the Senior Manager - Advanced Analytics & Insight to ensure our data-driven initiatives are on course for success. In this key role, you will apply advanced statistical techniques to analyse data, generate insights, and ensure the use of the most effective tools and methodologies for various types of analysis. Your expertise will guide analysts across directorates, fostering collaboration and knowledge sharing that elevates our analytical capabilities. You will also work closely with technology and data engineering teams to ensure seamless data extraction and analysis, integrating new tools and systems as needed to keep our analytics on the cutting edge. Leading advanced analytical projects, you will present findings and recommendations that inform critical decisions, while also monitoring progress and providing ongoing training to enhance the skills of the directorate-specific analysts. If you are passionate about leveraging data to drive strategic decisions and ready to make a significant impact at Virgin Atlantic, this is your opportunity to lead and innovate in the world of advanced analytics. Day to day Support the development of the company's analytics strategy and lead the implementation of advanced analytics projects. Collaborate with cross-functional teams to identify and analyse business requirements. Develop and manage a team of analysts to deliver actionable insights and recommendations within each project. Drive the development and enhancement of data models, algorithms, and statistical techniques. Facilitate the seamless completion of analytics projects while offering guidance on effective approaches. Compete in the market by staying up to date with the latest advancements in analytics technologies and applied methodologies. About you Proven track record of successfully leading and implementing data analytics projects and driving business outcomes. Strong experience in data analytics, including data manipulation, visualisation, and statistical analysis. Exceptional leadership and communication skills to effectively collaborate with individuals at all levels of the organisation. Strict attention to detail and ability to manage multiple projects simultaneously. Bachelor's degree or equivalent experience in a relevant field, such as Information Technology, Data Science or Mathematics. Our recipe for leadership At Virgin Atlantic, our leaders empower teams to thrive through collaboration, innovation, and excellence. Explore our Leadership Recipe and discover the 20 core ingredients that define what it means to lead with us, driving our mission to be the most loved travel company and achieve sustainable profit. Want to learn more? Click here Be yourself Our customers come from all walks of life and so do our colleagues. That's why we're proud to be an equal opportunity employer and actively encourage applications from all backgrounds. At Virgin Atlantic, we believe everyone can take on the world - no matter your age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion, or beliefs. We celebrate difference and everything that makes our colleagues unique by upholding an inclusive environment in which we can all thrive. So that everyone at Virgin Atlantic can be themselves and know they belong. To make your journey with us accessible and individual to you, we encourage you to let us know if you'd like a little extra help with your application, or if you have any individual requirements at any stage along your recruitment journey. We are here to support you, so please reach out to our team, ( [email protected] ) feeling confident that we've got your individual considerations covered.

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.

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.

Quantum-Enhanced Machine Learning—Propelling AI into the Next Frontier

Machine learning (ML) has revolutionised how we interpret data, build predictive models, and create intelligent applications. From recommendation engines and self-driving cars to advanced genomics and natural language processing, ML solutions are integral to nearly every corner of modern life. However, as data complexity and model size continue to skyrocket, the computational demands placed on ML systems grow in tandem—often pushing even high-performance classical computers to their limits. In recent years, quantum computing has emerged as a tantalising solution to these challenges. Unlike traditional digital systems, quantum computers exploit quantum mechanics—superposition and entanglement—to process information in ways that defy conventional logic. As these machines mature, they promise exponential speed-ups for certain tasks, potentially reshaping how we approach AI and data-intensive challenges. What does this mean for machine learning? Enter quantum-enhanced ML, a new frontier where quantum processors and classical ML frameworks unite to accelerate model training, tackle high-dimensional data, and solve complex optimisation tasks more efficiently. In this article, we will: Unpack the current state of machine learning, highlighting key bottlenecks. Provide a concise overview of quantum computing—why it’s radical and how it differs from classical technology. Examine potential breakthroughs in quantum-enhanced ML, including real-world use cases and technical approaches. Explore the roles and skill sets that will define this quantum-AI era, with guidance on how to prepare. Discuss the roadblocks (like hardware maturity and ethical concerns) and how they might be addressed in the years to come. If you’re a machine learning engineer, data scientist, or simply an AI enthusiast fascinated by the next wave of computational innovation, read on—quantum computing could become an integral part of your future toolkit, opening up job opportunities and reimagining what ML can achieve.

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!