Senior Analyst - Data Science & Operational Research

VIRGIN ATLANTIC LIMITED
Crawley
7 months ago
Applications closed

Related Jobs

View all jobs

Senior Analyst & Data Specialist

Entry Level Data Analyst

Entry Level Data Analyst

Entry Level Data Analyst

Entry Level Data Analyst

Entry Level Data Analyst

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 transform data into powerful insights that drive the future of Virgin Atlantic? As a Senior Analyst Data Science & Operational Research, you will harness advanced data analysis, predictive modelling, and cutting-edge machine learning methodologies to deliver actionable insights that directly influence key business decisions. In this pivotal role, you will manage data science projects from inception to delivery, ensuring timely execution and clear, impactful communication with stakeholders. Your ability to present analytical findings and recommendations will help shape strategies across the organisation, driving tangible results. You will take ownership of gathering and preparing data from diverse sources, developing and maintaining robust data and ML pipelines that ensure the quality, consistency, and governance of our machine learning models. Your work will be crucial in generating actionable insights, developing interactive applications or ML engines, and continuously refining processes to enhance business decision support. Collaboration is key, and you will work alongside cross-functional teams to share knowledge, best practices, and mentor junior analysts, fostering a culture of continuous learning and innovation. By staying at the forefront of developments in data science, you'll help Virgin Atlantic maintain its competitive edge and drive continuous improvement across all areas of the business. If you are passionate about data science and ready to make a significant impact, this is your opportunity to excel at Virgin Atlantic and take your career to new heights. Day to day Determine and implement data science and operational research strategies to optimize our business processes. Conduct in-depth analysis and modelling to identify trends, patterns, and opportunities for improvement. Build high-impact data science applications - fundamentally optimising decisioning across the enterprise. Collaborate with cross-functional teams to design and develop innovative solutions that enhance our operational efficiency. Keep abreast of the most recent industry developments and effective approaches in data science and operational research. Present findings and recommendations to senior management to drive informed decision-making. About you Proven experience as a data scientist or operational researcher, with a strong track record of delivering successful projects. Proficiency in programming languages such as Python, R, or SQL. Excellent analytical and problem-solving skills, with the ability to think critically and strategically. Excellent communication and presentation skills, with the ability to effectively explain complex ideas to both technical and non-technical individuals. Bachelor's or Master's degree in Data Science, Operational Research, or a related field, or equivalent experience. 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.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.

Machine Learning Jobs in the Public Sector: Opportunities Across GDS, NHS, MOD, and More

Machine learning (ML) has rapidly moved from academic research labs to the heart of industrial and governmental operations. Its ability to uncover patterns, predict outcomes, and automate complex tasks has revolutionised industries ranging from finance to retail. Now, the public sector—encompassing government departments, healthcare systems, and defence agencies—has become an increasingly fertile ground for machine learning jobs. Why? Because government bodies oversee vast datasets, manage critical services for millions of citizens, and must operate efficiently under tight resource constraints. From using ML algorithms to improve patient outcomes in the NHS, to enhancing cybersecurity within the Ministry of Defence (MOD), there’s a growing demand for skilled ML professionals in UK public sector roles. If you’re passionate about harnessing data-driven insights to solve large-scale problems and contribute to societal well-being, machine learning jobs in the public sector offer an unparalleled blend of challenge and impact. In this article, we’ll explore the key reasons behind the public sector’s investment in ML, highlight the leading organisations, outline common job roles, and provide practical guidance on securing a machine learning position that helps shape the future of government services.

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.