Pricing Director

Taylor & Francis Group
Gillingham
1 month ago
Applications closed

Related Jobs

View all jobs

Data Engineer (Graduate)

Pricing Analyst

Pricing Manager (Data Scientist) - Remote

Pricing Manager (Data Scientist) - Remote (Ashton-Under-Lyne)

Pricing Manager (Data Scientist) - Remote

Pricing Manager (Data Scientist) - Remote

Newly Created OpportunityHybrid working on offerAbout Our Client Informa is a leading academic publishing, business intelligence, knowledge, and events business, creating unique content and connectivity for customers all over the world. It is listed on the London Stock Exchange and is a member of the FTSE 100. Taylor & Francis Group publishes high quality, peer reviewed books and journals. We produce unique, trusted content by expert authors, spreading knowledge and promoting discovery globally. We aim to broaden thinking and advance understanding, providing academics and professionals with a platform to share ideas and realize their individual potential. Our purpose is to foster human progress through knowledge. We strongly believe that this requires us to encourage and examine different ideas and voices, so that any work that meets our exacting levels of quality deserves to be included in our publications. This requires open minds, the opportunity for robust debate, and the courage to defend perspectives that stand up to scrutiny, even if they conflict with our personal beliefs or values. Because that's the only way to find the best obtainable version of the truth and, ultimately, foster human progress.Job Description Educating stakeholders on pricing optimisation, the Pricing Director will embed into routine activity the importance of a dynamic pricing structure, working to change mindsets and capitalise on customer touchpoints for better pricing across T&F. By leveraging data analytics, market insights, and customer behaviour, the Pricing Director will ensure pricing strategies are dynamic, adaptive, and aligned with Taylor & Francis's strategic objectives.Develop and execute comprehensive pricing strategies for new and existing products ensuring alignment with business goals and market trends.Leverage analytics and data to read market conditions, competitor pricing, and customer demand to identify opportunities for price optimization.Implement dynamic pricing models tailored to content, format, regional factors, and customer segments.Driving the growth and success of the business through the optimisation of advanced pricing analytics, data science, and modelling, as well as a deep understanding of novel pricing and packaging methodologies.Engage with the Editorial, Commercial, and Marketing teams to align pricing strategies with overall product positioning.Establish discounting, promotional, and bundling strategies to optimize revenue growth and enhance value perception.Lead the integration of pricing strategies into customer relationship management (CRM) systems, e-commerce platforms, and sales tools.Ensure a robust strategy for discount management that any promotions are not counter to revenue generation or product perception of value.Utilize and plan for data gathering that enables in-depth pricing analysis using data-driven approaches to forecast sales volumes, revenues, and profitabilityBring to life for stakeholders the modelling of pricing scenarios and evaluate the potential financial impact of different pricing approaches. Advice on the best route forward based on the modelling inputMonitor product lifecycle stages, adjusting prices to maintain competitiveness and profitabilityProvide recommendations on bundling, subscription models, and discount strategies to drive revenue and engagement.The Successful Applicant Demonstrate a high level of credibility with a proven track record in supporting organisations and influencing stakeholders through pricing decisions and market analysis.Possess experience in developing, managing, and implementing analytical tools that can rapidly assess diverse markets across multiple dimensions.Excellent communication skills with the ability to present and drive change with stakeholders at all levels of the business.Experience in operating and influencing at a senior level within a global, matrixed multinational organisation.Strong experience with customer groups and an understanding of customer requirements, ideally in the media or publishing space.Demonstrated commercial acumen, able to tap into business strategy when decision making with a revenue and margin focused mindset.Numerate with an ability to interpret and understand project plans, budgets, and financial targets;Publishing Industry knowledge would be an advantageWhat's on Offer Competitive PackageContact Luisa Diamant Quote job ref JN-012025-6655628ZTPBN1_UKTJ

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!