Lead Data Science Consultant

Omnis Partners
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Science Consultant – Econometrics specialist

Senior Data Science Consultant – Econometrics specialist

Senior Data Science Consultant – Econometrics specialist

Data Science Consultant – Capital Markets

Lead Data Scientist (Defence) - Onsite UK Clients

Lead Data Scientist (Defence) - Onsite UK Clients

Lead Data Science Consultant Global Management Consultancy £90k - £120k & Bonus Hybrid – 3 days in London office & travelWe 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.

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.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.