Head of AI

London
5 days ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Head of Software Engineering

Head of CRM & Insights

Head of CRM & Insights

Head of CRM & Insights

Head of CRM & Loyalty

This is an exciting role for an experienced candidate to provide decision science and analytics leadership across the technical organisation within the business. As the Head of AI, you will be delivering best in class data analytics to the business,leadershipand a range of data-driven solutions to complex problems with very high levels of ambiguity using both structured and unstructured data across the enterprise.

Job Responsibilities

  • Guides and mentors a team of data scientists to use a wide range data science techniques for descriptive, diagnostic, predictive, and prescriptive analyses.

  • Sets the vision for manipulation and analyses of large and complex data sets.

  • Distils the complexities of analytics (tagging, data, reporting) into layman terms, providing impactful visualisations, actionable insights and test/optimisation opportunities.

  • Leads the team in leveraging machine learning and Artificial Intelligence technologies to drive real time customer centric decision making .

  • Builds out a world class data science team that is aligned to support to the business as key business function.

  • Provides thought leadership to support the key technology initiatives.

  • Utilises expertise to guide the decision on leading edge technical / business approaches and/or develops major new technical tools.

  • Facilitates communication between executives, staff, management, vendors, and other technology resources within and outside of the organization. Shares highly complex information related to areas of expertise.

  • Interacts with senior management to keep abreast of objectives. Interacts with direct reports and peers in management / customers / vendors to interpret information and improve cross-functional processes and programs. Builds and enhances key internal and external contacts.

    Basic Qualifications

  • Master's degree and at least 6 years of experience in a quantitative or computational function.

  • Deep knowledge of open source data science and statistics packages such as Python, R, Spark, etc.

  • Experience in data science, advanced analytics, or statistics. Ability to interrogate data, perform analyses, interpret data, and present to business audiences.

  • Deep knowledge of SQL.

  • Excellent communication skills (both orally and in writing) with a superb ability to communicate technical information to senior executives.

  • Previous experience contributing to financial decisions in the workplace.

  • Previous direct leadership, indirect leadership and/or cross- functional team leadership.

    If this is the role for you, apply today

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.

Careers

10 Ways AI Pros Stay Inspired: Boost Creativity with Side Projects, Hackathons & More

In the rapidly evolving world of Artificial Intelligence (AI), creativity and innovation are critical. AI professionals—whether data scientists, machine learning engineers, or research scientists—must constantly rejuvenate their thinking to solve complex challenges. But how exactly do these experts stay energised and creative in their work? The answer often lies in a combination of strategic habits, side projects, hackathons, Kaggle competitions, reading the latest research, and consciously stepping out of comfort zones. This article will explore why these activities are so valuable, as well as provide actionable tips for anyone looking to spark new ideas and enrich their AI career. Below, we’ll delve into tried-and-tested strategies that AI pros employ to drive innovation, foster creativity, and maintain an inspired outlook in an industry that can be both exhilarating and daunting. Whether you’re just starting your AI journey or you’re an experienced professional aiming to sharpen your skills, these insights will help you break out of ruts, discover fresh perspectives, and bring your boldest ideas to life.

Careers

Top 10 AI Career Myths Debunked: Key Facts for Aspiring Professionals

Artificial Intelligence (AI) is one of the most dynamic and rapidly growing sectors in technology today. The lure of AI-related roles continues to draw a diverse range of job seekers—from seasoned software engineers to recent graduates in fields such as mathematics, physics, or data science. Yet, despite AI’s growing prominence and accessibility, there remains a dizzying array of myths surrounding careers in this field. From ideas about requiring near-superhuman technical prowess to assumptions that machines themselves will replace these jobs, the stories we hear sometimes do more harm than good. In reality, the AI job market offers far more opportunities than the alarmist headlines and misconceptions might suggest. Here at ArtificialIntelligenceJobs.co.uk, we witness firsthand the myriad roles, backgrounds, and success stories that drive the industry forward. In this blog post, we aim to separate fact from fiction—taking the most pervasive myths about AI careers and debunking them with clear, evidence-based insights. Whether you are an established professional considering a career pivot into data science, or a student uncertain about whether AI is the right path, this article will help you gain a realistic perspective on what AI careers entail. Let’s uncover the truth behind the most common myths and discover the actual opportunities and realities you can expect in this vibrant sector.

Jobs

Global vs. Local: Comparing the UK AI Job Market to International Landscapes

How to navigate salaries, opportunities, and work culture in AI across the UK, the US, Europe, and Asia Artificial Intelligence (AI) has evolved from a niche field of research to an integral component of modern industries—powering everything from chatbots and driverless cars to sophisticated data analytics in finance and healthcare. The job market for AI professionals is consequently booming, with thousands of new positions posted each month worldwide. In this blog post, we will explore how the UK’s AI job market compares to that of the United States, Europe, and Asia, delving into differences in job demand, salaries, and workplace culture. Additionally, we will provide insights for candidates considering remote or international opportunities. Whether you are a freshly qualified graduate in data science, an experienced machine learning engineer, or a professional from a parallel domain looking to transition into AI, understanding the global vs. local landscape can help you make an informed decision about your career trajectory. As the demand for artificial intelligence skills grows—and borders become more porous with hybrid and remote work—the possibilities for ambitious job-seekers are expanding exponentially. This article will offer a comprehensive look at the various regional markets, exploring how the UK fares in comparison to other major AI hubs. We’ll also suggest factors to consider when choosing where in the world to work, whether physically or remotely. By the end, you’ll have a clearer picture of the AI employment landscape, and you’ll be better prepared to carve out your own path.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.