Senior Data Science Consultant

Quotacom
City of London, England
11 months ago
Applications closed

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Are You Ready to Disrupt the AI Consulting Landscape?


Senior Data Science Consultant

Tired of the slow pace and rigid structures of traditional consulting? Imagine joining a firm that’s already hit a $10M revenue run rate a year ahead of schedule, with a $50M pipeline and explosive expansion across the UK, Europe, and the USA.


Our client isn't just growing; they're redefining how organisations adopt Data & AI.


Who They Are: Our client is a lean, agile, and fiercely effective data and AI consulting firm. They're a "hungry startup" backed by decades of experience from Big Four alumni, but unburdened by their overheads or motives. Their mission? Purely to solve complex client problems with speed, precision, and unparalleled value. They recently won a 7-figure contract against industry giants by being nimbler, more focused, and ultimately, more effective.


The Opportunity: They're seeking a Senior Data Science Consultant to join their rapidly expanding UK team in London. This role sits at the intersection of business strategy and technical execution, playing a pivotal role in delivering end-to-end projects for their clients, from initial conceptualisation and commercial strategy to final delivery and the assurance of high-quality data.


You will act as the crucial bridge between business needs and technical solutions, driving both strategic oversight and the technical rigor required for successful Data Science initiatives.


Qualifications & Experience

  • 5+ years of professional experience, ideally within a consulting or advisory capacity, with a significant focus on data science, data quality, and governance.
  • Proven experience in end-to-end project delivery, including conceptualisation, commercialisation, and implementation of data and AI solutions.
  • Strong understanding of data strategy, governance, and platform architecture.
  • Demonstrable technical background in applying statistical, machine learning, or data science techniques to solve business problems, particularly in data quality or data validation.
  • Experience with use case development and data monetisation is highly desirable.
  • Exceptional communication, leadership, and stakeholder management skills, with the ability to bridge technical and business domains.
  • Experience in one or more of the following industries: Banking, Financial Services, Insurance, Telecom, Retail, E-commerce, or Manufacturing.
  • Based in or around London and able to travel as needed for client engagements.


Why Them?

  • Impact: Work on high-stakes projects that genuinely transform businesses.
  • Agility: Say goodbye to corporate bureaucracy; make decisions and drive change swiftly.
  • Growth: Be a foundational member of a UK team scaling dramatically within a globally expanding firm.
  • Reward: A highly competitive, market-plus salary and a culture that truly values your expertise.


If you're an experienced consultant ready to move faster, achieve more, and be part of a genuine market disruptor, we want to hear from you.


At Quotacom, we take the security and privacy of your personal data very seriously, any data we hold will be in accordance with data protection legislation. Full details of our privacy notice can be found at www.quotacom.com/privacy-notice/

Industry Insights

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What Is an AI Forward Deployed Engineer? The Fastest-Growing Job in AI for 2026

If you have been watching AI job boards over the past year, one title keeps surfacing again and again: the forward deployed engineer, or FDE. It has gone from a niche term known mainly to Palantir alumni to arguably the hottest role in the entire AI hiring market. Job postings for forward deployed engineers have exploded, salaries have climbed past levels most software engineers will ever see, and the biggest names in AI — OpenAI, Anthropic, Google, Salesforce, Databricks and Palantir — are all competing for the same small pool of talent. So what exactly is an AI forward deployed engineer, why has demand surged so dramatically, and how do you position yourself to land one of these roles? This guide breaks it all down for AI engineers, software engineers and data scientists looking at their next move.