National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Lead Data Scientist - Banking

CAVU
Manchester
7 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist Manchester – Hybrid Permanent For airports, for partners, for people. Formed from the union of MAGO, MAG USA, and a network of direct-to-consumer brands, we deliver market-leading passenger experiences and drive profitable results for airports worldwide. From Propel, our revenue-accelerating single platform technology, to our world-class hospitality venues, including Hangar, 1903, and Escape Lounges, our solutions streamline travel and boost revenue. Inspired by the aviation term “Ceiling and Visibility Unlimited,” CAVU embodies our vision of creating seamless, enjoyable travel experiences for airport passengers. The Lead Data Scientist will be instrumental in designing advanced data analytics, machine learning models, and predictive insights to support the entire organisation, from Trading to Digital Marketing, and Customer & Travel Product Development. Working closely with the Data Team and key business stakeholders, you’ll navigate a dynamic business landscape driven by acquisitions, integrations, and digital transformation. You’ll be a seasoned data science professional with strong expertise in machine learning and statistical analysis, comfortable leading complex data projects and mentoring a team. You’re passionate about driving insights that shape strategic decisions, enhance our competitive edge, and support our mission of redefining travel. Team Leadership: Lead, mentor, and manage a team of data scientists and analysts, fostering a collaborative culture focused on innovation and continuous growth. Data Strategy Development: Define and execute CAVU’s data science strategy in alignment with business goals, focusing on M&A activities and leveraging data to drive impactful solutions. - Coordinate with IT and data engineering teams to ensure a robust data infrastructure. - Project Management: Oversee data science projects from inception to completion, prioritizing based on business impact and resource availability, and ensuring timely delivery of high-quality solutions. - Data Analysis & Modelling: Conduct advanced data analysis and modelling to identify patterns and trends, develop predictive models, and optimise business processes. Translate complex data into actionable insights. As Lead Data Scientist, you will drive strategic decision-making for the Data Team, applying best practices in advanced data modelling and stakeholder engagement. Your insights will directly influence business strategy, optimise data usage, and ensure the scalability and efficiency of our data science solutions. Data Science & Statistical Expertise: Extensive experience with Python, SQL, and complex data analysis. Proven success in collaborating with Data Engineering to optimise data infrastructure. - Machine Learning Proficiency: Strong knowledge of machine learning, data mining techniques, and predictive analytics, particularly in GBMs, neural networks, and large language models (LLMs). - Advanced ML Tools: Hands-on experience with machine learning libraries and platforms like Amazon SageMaker, TensorFlow, and PyTorch. - Project Management & Agile Methodologies: Experienced in Agile or Kanban frameworks, with a track record of managing projects in tools like Jira and Confluence. - Artificial Intelligence Implementation: Experience implementing AI solutions to enhance business processes and address unique business challenges (preferred). - Attention to Detail: High accuracy and quality standards in deliverables. This is a unique opportunity to lead a data science team in a high-growth, innovative environment with significant autonomy. As CAVU continues its growth, there are endless opportunities for future career development. 25 Days Holiday with the option to buy up to 10 more, plus 4 flexible bank holidays - 10% Company Pension - Annual Bonus Scheme - On-Site Gym - Flexible Benefits & Discounts We are an equal opportunities employer, valuing diversity in all its forms. We also provide reasonable accommodations to ensure everyone can participate fully in our hiring process.

National AI Awards 2025

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.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

When it comes to job hunting in artificial intelligence (AI), most candidates head straight to traditional job boards, LinkedIn, or recruitment agencies. But what if there was a better way to find roles that aren’t advertised publicly? What if you could access hidden job leads, gain inside knowledge, or get referred by people already in the field? That’s where professional bodies and specialist AI communities come in. In this article, we’ll explore how UK-based organisations like BCS (The Chartered Institute for IT), IET (The Institution of Engineering and Technology), and the Turing Society can help you uncover AI job opportunities you won’t find elsewhere. We'll show you how to strategically use their directories, special-interest groups (SIGs), and CPD (Continuing Professional Development) events to elevate your career and expand your AI job search in ways most job seekers overlook.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.