National Account Manager

IQVIA
Liverpool
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Scientist

Senior Machine Learning Scientist

National Data & Analytics - Data Analyst

Senior Data Science Quant – Hybrid, Impactful Energy Modelling

Scientist in Quantum Computing and Machine Learning

National Security ML Engineer | AI, MLOps & LLMs | Hybrid

IQVIA are looking for a passionate and driven National Account Manager to join our client’s team!

As a National Account Manager, you will be responsible for achieving or exceeding sales targets with key accounts while continually enhancing and maintaining our client’s position with retailers. You will be tasked with growing the sales contribution from specific key accounts year over year, ensuring that our key brands are well-represented and supported by these accounts. Additionally, you will maintain strong relationships with our pre-wholesalers and wholesalers, ensuring that the right products are available in the right places at the right times.

Key Responsibilities:

Manage and grow strategic accounts within the wholesale, pharmaceutical, and beauty sectors. Build and maintain strong relationships with key clients, understanding their needs, and delivering solutions. Collaborate with internal teams (marketing, wholesale, and customer service) to ensure client satisfaction and sales targets. Achieve or exceed sales targets with key accounts. Develop promotional plans to expand product range and sales. Negotiate prime shelf space within key accounts to increase brand awareness. Participate in meetings, trade shows, and events, including occasional evening and weekend work. Enhance the e-commerce platform with the E-commerce Manager. Conduct training programs for pharmacists and their staff. Stay informed about competitor products. Analyse sales reports to identify business opportunities. Monitor stock levels in wholesale depots and negotiate ranges. Manage customer service coordination with our pre-wholesaler. Communicate with the retail team to manage issues and opportunities.

Qualifications and Skills:

A degree in science, business, or pharmacy is preferred. Successful completion of Professional Selling Skills is preferred. Proficient in Microsoft Office applications. A minimum of two years of experience managing key accounts is essential. Industry knowledge is highly valued.

If you are a strategic thinker with a passion for sales and relationship management, we would love to hear from you. Apply today to join the team and help us continue to make a difference in the skincare industry!

#LI-CES #LI-DNI #LI-LJ1

IQVIA is a leading global provider of advanced analytics, technology solutions and clinical research services to the life sciences industry. We believe in pushing the boundaries of human science and data science to make the biggest impact possible – to help our customers create a healthier world. Learn more at

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.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.