Role- Data ScientistLocation: London, UKType of job : ContractWork mode : Hybrid- 2 days onsite in a weekResponsibilities:* Explore, clean, and analyse large, complex datasets to uncover patterns, trends, and opportunities that drive actionable insights.* Develop, train, and validate machine learning, statistical, and predictive models that solve real business problems and deliver measurable impact.* Design and run experiments (A/B tests,...
Vallum Associates
London
Data Scientist
I am recruiting for a Data Scientist to work on a hybrid basis - 2-3 days in London, remaining time remote.The role falls inside IR35 so you will be required to work through an umbrella company for the duration of the contract.This role will move into a permanent position after the 6 months so please only apply if this is...
Access Computer Consulting
City of London
Data Scientist
Looking for an experienced Data Scientist to design, build, and optimise machine learning models and advanced analytics solutions that support institutional priorities across a large, complex network. The role blends hands-on data science with strategic impact, using AWS technologies to deliver predictive insights that drive proactive interventions and data-driven decision-making. This is a hybrid role with the expectation of working...
Spectrum IT Recruitment
London
Data Scientist
Data ScientistSalary: £85,000 - £95,000 + EquityLocation: London (Hybrid - 2-3 days per week in office)We are currently looking for a Data Scientist to join a fast-paced, early-stage AI startup building cutting-edge technology in the mobile app space. Reporting directly into the CTO, this Lead Data Scientist will play a critical role in shaping the company's core product and driving...
Data Idols
Farringdon
Data Scientist - London, UK (Fully REMOTE)
Role: Data ScientistType: Contracts (6 Months)Location: London, UK (REMOTE)Working Model: Fully RemotePayrate:(Apply online only) GBP/day on PAYE(Apply online only) GBP/day on RUPAYE(Apply online only) GBP/day on Inside IR35 on UmbrellaThe Role: Join our team to drive data quality and empower cross-functional decision-making by building robust pipelines and self-serve data products. You will be essential in defining metrics for platform health,...
Randstad Technologies Recruitment
London
Data Scientist - 60k - 80k - Leeds (Hybrid) - AI / FinTech SaaS
Data Scientist - 60k - 80k - Leeds (Hybrid) - AI / FinTech SaaSPython | Data Science | A/B Testing | Commercial Analytics | Azure | Gen AI | Partnerships | SaaS | FinTech |Do you want to work with a business that partners with 400+ companies across 75+ countries, using AI to drive revenue and improve customer experience?A business...
Advertising data science jobs in the UK requires a different approach to most technical hiring. 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.
Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk
, identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise.
This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.
If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going.
With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up.
Here’s the straight-talk version most hiring managers won’t explicitly tell you:
👉 You don’t need to know every data science tool to get hired.
👉 You need to know the right ones — deeply — and know how to use them to solve real problems.
Tools matter, but only in service of outcomes.
So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood.
This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.
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