Future Tech Jobs Future Tech Jobs

AI Consultant

Harnham - Data and Analytics Recruitment
London, United Kingdom
Last month
£70,000 – £90,000 pa

Salary

£70,000 – £90,000 pa

Job Type
Permanent
Work Location
Hybrid
Education
Degree
Posted
1 May 2026 (Last month)

Benefits

Bonus Pension Private medical
Share
Save job
Create job alert

AI Consultant
London, Leeds - 3dpw

£70-£90,000 plus benefits.

This is an opportunity to join a newly established AI lab within a large, data-driven organisation that plays a critical role in supporting smarter decision-making across regulated industries. Sitting at consultant level, this role offers a rare mix of hands-on model development, applied AI research and exposure to varied, high-impact projects, without being overly focused on deployment work.

The Company
They are a well-established organisation operating at scale, known for working with complex, high-volume datasets to support better commercial and risk decisions. Data and analytics sit at the heart of the business, with a strong culture of long-term career development and collaboration. Their AI lab is a newer function, created to enhance existing capabilities and drive innovation through advanced analytics and artificial intelligence

The Role

  • Design, develop and enhance AI and machine learning models to support client and internal projects.
  • Apply AI techniques such as LLMs, transformers and predictive modelling to real-world business problems.
  • Contribute to research and development initiatives, including new product and model innovation.
  • Work closely with stakeholders across data, analytics and wider business teams to integrate AI into decision-making.
  • Present insights and recommendations clearly to technical and non-technical audiences.
  • Support and guide others on best practice in modelling and analytical approaches.

Your Skills and Experience

  • Strong commercial experience in credit risk within a lender, fintech or credit-focused data organisation.
  • Proven capability in model development, including scorecards or other predictive models.
  • Hands-on experience applying AI and machine learning, such as chatbots, LLMs or advanced ML models.
  • Solid programming skills in Python and SQL.
  • Experience exploring AI as an alternative or improved solution to existing lending or collections processes.
  • Confident communicator, comfortable presenting technical work to varied stakeholders.

What They Offer

  • Bonus, pension, private medical
  • A high-impact role within a growing AI function, working on varied and meaningful projects.
  • Clear scope for progression within a business known for strong retention and culture.
  • Hybrid working with three set days in the office each week.

Related Jobs

View all jobs

AI Consultant

Harnham - Data and Analytics Recruitment London, United Kingdom
£70,000 – £90,000 pa Hybrid

Senior Data Science Consultant

Deerfoot Recruitment Solutions London, United Kingdom
£60,000 – £70,000 pa Hybrid

Lead / Principal Consultant (AI & Data Science)

Harnham - Data and Analytics Recruitment London, United Kingdom
£90,000 – £125,000 pa Hybrid Clearance Required

Solutions Consultant (German Speaking)

Synthesia London, United Kingdom
Remote

Solutions Consultant (Italian Speaking)

Synthesia London, United Kingdom
Hybrid

Solutions Consultant

Synthesia Austin, Texas, United States
£70,000 – £130,000 pa Hybrid

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Products

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data Science Jobs UK 2026: roles, salaries and the trends shaping UK data science hiring over the next three years — from MLE crossover to GenAI workflows. Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

🍪 Basic, anonymous analytics (aggregate counts only, never shared) are always on. Accept to also enable third-party tools — Google Analytics, Microsoft Clarity, Mixpanel, Leadfeeder — which help us match you with relevant Data Science roles. We never sell your data or use it for cross-site advertising. See our Cookie Policy.