Future Tech Jobs Future Tech Jobs

Associate Consultant

Harnham - Data and Analytics Recruitment
London, United Kingdom
Yesterday
£50,000 – £63,000 pa

Salary

£50,000 – £63,000 pa

Job Type
Permanent
Work Location
Hybrid
Seniority
Entry
Education
Degree
Posted
2 Jun 2026 (Yesterday)

Benefits

Hybrid Working Structured Learning and Development Clear Progression Opportunities
Share
Save job
Create job alert

Associate Consultant, Data and AI


London - Hybrid

The Company
They are an established international consultancy with a strong reputation across multiple industries, including healthcare, life sciences, transport and logistics. They are investing heavily in data, AI and digital capabilities, with a clear focus on building user centric, data driven products. Their approach blends strategy with execution, enabling teams to move from insight to tangible outcomes. This creates a unique environment where data professionals work closely with design and engineering teams to deliver impactful solutions.

The Role
You will contribute to both client delivery and internal innovation, working as part of a collaborative, cross functional data team.

Key responsibilities include:
* Delivering data science and analytics solutions to solve complex business problems
* Building internal tools and contributing to the development of data and AI products
* Conducting statistical analysis and regression modelling to generate insights
* Creating dashboards and visual outputs for business stakeholders
* Supporting AI workflow development, including exposure to large language models
* Working with cloud technologies, particularly Azure, to support deployment
* Collaborating with front end and UI teams to create user focused data products

Your Skills and Experience
* Strong commercial experience in data analytics, data science, or consulting environments
* Proficiency in Python, including libraries such as Pandas, NumPy and scikit learn
* Strong SQL skills and experience working with structured data
* Solid understanding of statistical analysis and regression techniques
* Exposure to cloud platforms, ideally Azure, and an understanding of deployment processes
* Experience working in cross functional teams, ideally alongside engineers or product teams

What They Offer
* Hybrid working with a London office base
* Structured learning and development, including dedicated time for upskilling
* Clear progression opportunities within a growing data and AI capability
* The chance to shape AI initiatives and contribute to product strategy

How to Apply
If you are keen to apply your data and AI skills in a consulting and product focused environment, apply now to learn more.

Related Jobs

View all jobs

Data Scientist (SMART Partnership Associate)

Wrexham University Wrexham, United Kingdom
£35 pa Hybrid

AI Adoption Consultant

Mexa Solutions LTD Rg11Az, RG1 1AZ, United Kingdom
£45,000 – £60,000 pa Hybrid

Head of Global Regulatory Affairs and Strategy

Isomorphic Labs Cambridge, United Kingdom
On-site

AI Associate Director - AI Solutions & Architecture

Method Resourcing London, United Kingdom
£100,000 – £130,000 pa On-site

Data & AI Delivery Senior Manager/Associate Director | Capital Markets

Datatech London, United Kingdom
Hybrid

Data & AI Delivery Senior Manager/Associate Director | Capital Markets

Datatech Edinburgh, Alba / Scotland, United Kingdom
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.