Analytics & AI Consultant

London
2 weeks ago
Create job alert

Analytics, Power BI, Tableau, SQL, Python, R, Consulting, Artificial Intelligence

A global Data Consultancy with offices in the US and EMEA, who have helped more than 700 clients build through better use of Data, are expanding their UK presence and so are recruiting for motivated and passionate Consultants to increase their capabaility in Data Visualisation, Analytics & AI.

You should come with expertise and passion for Data, as well as experience in consulting, key skills and experience include;

  • Data Analysis tools and technicques including SQL, Python, R or other relevant programming

  • Consulting experience - ability to build and maintain client relationships, client engagement and excellent communication skills

  • Strong Data Visualisaiton skills with Power BI, Tableau, Qlik or other Data Viz tooling

  • Interest in and experience with Artifical Intelligence tooling and/or projects would be highly desireable

    This role offers an excellent opportunity to join a fast-growing Consulting firm in the UK, with a bigger organisation wrapped around it internationally. You will get the opportunity to apply your skills on exciting project and upskill with AI.

    The role will be remote first and paid at circa £50,000 - £60,000 + bonus and benefits, depending on skills and experience.

    For more information, please respond with a CV via the links provided

Related Jobs

View all jobs

Consultant - Data & AI Strategy - Data Management

ML / AI Engineer - Python - £60,000 - Remote

ML / AI Engineer - Python - £60,000 - Remote

ML / AI Engineer - Python - £60,000 - Remote

Analytics Engagement Manager - Sports Management

Data Engineering Consultant

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.

ElevenLabs AI Jobs in 2025: Your Complete UK Guide to Crafting Human‑Level Voice Technology

"Make any voice sound infinitely human." That tagline catapulted ElevenLabs from hack‑day prototype to unicorn‑status voice‑AI platform in under three years. The London‑ and New York‑based start‑up’s text‑to‑speech, dubbing and voice‑cloning APIs now serve publishers, film studios, ed‑tech giants and accessibility apps across 45 languages. After an $80 m Series B round in January 2024—which pushed valuation above $1 bn—ElevenLabs is scaling fast, doubling revenue every quarter and hiring aggressively. If you’re an ML engineer who dreams in spectrograms, an audio‑DSP wizard or a product storyteller who can translate jargon into creative workflows, this guide explains how to land an ElevenLabs AI job in 2025.

AI vs. Data Science vs. Machine Learning Jobs: Which Path Should You Choose?

In recent years, the fields of Artificial Intelligence (AI), Data Science, and Machine Learning (ML) have experienced explosive growth. Spurred by the increase in data availability, advances in computing power, and the demand for intelligent decision-making, organisations of all sizes are investing heavily in these areas. If you’ve been exploring AI jobs on www.artificialintelligencejobs.co.uk, you’ve likely noticed that employers use terms like “AI,” “Data Science,” and “Machine Learning”—often interchangeably. While they are closely related, there are nuanced differences between these fields. Understanding these distinctions is key if you’re trying to decide which path suits you best. This comprehensive guide will help you differentiate among AI, Data Science, and Machine Learning. We will discuss the key skills for each, typical job roles, salary ranges, and provide real-world examples of professionals working in these fields. By the end, you should have a clearer idea of where your strengths and passions might fit, helping you take the next step towards securing your ideal role in the world of data-driven innovation.

AI Programming Languages for Job Seekers: Which Should You Learn First to Launch Your AI Career?

Artificial Intelligence (AI) is no longer confined to academic research; it now sits at the core of countless modern industries. From healthcare diagnostics powered by machine learning to autonomous driving and natural language processing, organisations are investing heavily in AI capabilities. This surge in AI adoption has created a thriving job market for talented professionals—data scientists, machine learning engineers, AI researchers, and more. Yet if you’re aiming to break into this fast-growing field, one of the first questions you’ll ask is, “Which AI programming language should I learn first?” Given the array of options available—Python, R, Java, C++, Julia, among others—understanding the strengths, community support, and industry relevance of each is crucial. In this extensive guide, tailored for www.artificialintelligencejobs.co.uk, we’ll explore the top AI programming languages that can help you stand out to employers, accelerate your learning curve, and equip you with the skills to succeed in a competitive job market. By addressing both beginners and experienced programmers, we aim to provide actionable insights to help you choose the right language, master essential tools, and build a compelling career in AI.