Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Associate Sales Engineering Director

IQVIA
London
1 year ago
Applications closed

Related Jobs

View all jobs

Research Associate in Physics-Informed Machine Learning for Crowd Dynamics

Data Engineer

Data Analyst - Sales Operations

Alpha Data Services, Performance Ready Data Analyst, EMEA Lead, Vice President

Associate Director Data Science

Associate Data Scientist

Role Purpose As the Sales Engineer, you have a history of honing and exercising technical, quantitative, and commercial capabilities to achieve material business outcomes. You are obsessed with understanding a client’s business and the best mechanism of extending a platform to help them meet their needs. You tinker. You build. You deploy. You listen and ascertain feedback to help product and core engineering iterate on the product. You thrive in meetings whether a technical sync or commercial pitch by understanding your audience and modulating your delivery appropriately. Principal Accountabilities Primary focus is on pre-sales technical support for IQVIAs Incentive Compensation solution built on the Orchestrated Analytics ecosystem which spans MDM, data warehousing, AI/ML, and data visualisation technology solutions. Secondary support could include solutions such as Promotional Mix Modelling, Targeting Optimiser, and other offerings Demonstrating innovative SaaS solutions that showcase how our current and prospective clients can achieve their business goals, through applying technology and analytics to transform disparate data sources into actionable insights Provides technical knowledge, advice and support to customers, understanding their business requirements and technology stack, to maximize the benefits derived from IQVIAs products and/or services Works with the sales teams during the sales process to maximize the benefits derived from the IQVIAs products and/or services Provides technical input for bid proposals, projects and technical documents within sales process, and should identify additional opportunities Provides pre-sale technical support in sales presentation and product presentations at customer sites Owns Proof of Concepts based on customer requirements to demonstrate feasibility of the application, often requiring rapid prototyping and/or product demo for clients Voice of the clients and sales back to Product and Engineering teams to ensure feedback is captured and initiatives are executed Desired Skills and Attributes Demonstrated work ethic and capability to be self-starter Demonstrated experience working with top tier clients in understanding their businesses and crafting technical solutions Technical experience, especially with enterprise platforms catered towards Field Sales Teams, Sales Leadership and Sales Operations audience. A good understanding of sales force effectiveness domain and proven experience with analytical decision-making platforms would be of additional benefit Outstanding communication skills, particularly in conveying technical concepts in a manner that is easy for clients and non-technical partners to understand Excellent quantitative skills and comfort with data exploration tools Demonstrated experience in owning projects end to end that involves coordinating many resources and teams Excellent organizational skills and attention to detail Excellent troubleshooting, analytical and problem-solving abilities with a tenacious commitment to finding the root cause of issues Ability to work under intense pressure and multitask in a fast-paced start-up environment Ability to energize and lead a team of partner engineers Our ideal candidate will have: Typically requires a minimum of 3 years of related experience with a Bachelor’s degree At IQVIA, 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. The advanced analytics, technology solutions and contract research services we provide to the life sciences industry are made possible by our 70,000 employees around the world who apply their insight, curiosity and intellectual courage every step of the way. Learn more at jobs.iqvia.com .

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.