Lead Data Science Consultant

Omnis Partners
London
1 month ago
Applications closed

Related Jobs

View all jobs

Lead Data Analyst

Lead Data Scientist

Lead AI Business Consultant

Partnership Growth Lead (AD/Director)

Trainee Sales Manager (Progression to Director)

Digital Business Analyst, Water Utilities Industry

Lead Data Science Consultant

Global Management Consultancy



£90k - £120k & Bonus

Hybrid – 3 days in London office & travel



We are partnered with a disruptive, highly agile, management consultancy firm, specializing in transformational advisory services to hire a number of Data Science and AI experts. With a global presence and a reputation for excellence, they partner with clients to solve complex business challenges and achieve sustainable growth, at pace.



Ambition and passion for your craft are valued very highly here. Career development is clear, rapid and achievable, and international travel is available.



As a Lead Data Science Consultant, you will employ a wide range of data science techniques to support client's strategic business aims, across a range of industries including Retail, Travel, Financial Services, Telecommunications and Technology. Typical projects include data science for performance improvement, customer engagement and pricing effectiveness, network optimisation, and machine learning to drive improved operations, including supply chain and procurement.



I’m seeking Lead Data Science experts who not only bring experience from classic management consultancy, but also brand side, in order to provide an empathetic approach to solving business problems, using advanced data and AI solutions. You will form an integral part of this growing team collaborating closely with other cross-functional teams to deliver innovative machine learning and AI solutions.



You will flex strong problem-solving skills leveraging data science skills, directly with clients’ senior leadership teams looking to achieve results FAST, therefore you need to be skilled in, and comfortable with, delivering the most impactful solution (even if not perfect) in short sprints.



Skills & experience required:


  • Educated to at least degree level in a quantitative subject; Machine Learning, Computer Science, Physics, Chemistry, Mathematics, Statistics, Engineering, Economics etc.
  • Proven experience in leading data science projects across a range of areas required, such as personalisation, pricing, forecasting, GenAI, NLP, classification and regression.
  • Strong programming and modelling skills using SQL and Python required, working with large volumes of complex data.
  • Expert in building and leveraging stakeholder relationships, in order to understand requirements and in turn build meaningful and impactful data science and AI solutions.
  • Management consultancy experience is strongly preferred, although similar industry side, consultative experience will be considered.


NOTE: Sponsorship is not available for this role.

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.