Data Scientist

Anson McCade
London, England
23 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Hays Technology London, United Kingdom
£600 – £1,000 pd

Data Scientist

Faculty London, United Kingdom
Hybrid

Data Scientist

Data Idols Farringdon, Greater London, London, EC1M 4BJ, United Kingdom
£85,000 – £95,000 pa

Data Scientist

Vallum Associates London, United Kingdom

Data Scientist

Randstad Technologies Recruitment London, United Kingdom

Data Scientist

Access Computer Consulting City of London, United Kingdom
Posted
10 Jun 2024 (23 months ago)
Share
Save job
Create job alert




Join our elite global consulting firm in the heart of London as a Data Scientist. Shape the future of data-driven strategies by leveraging your analytical prowess to solve complex business challenges.

In this dynamic role, you'll work with a diverse team of experts to uncover insights and drive impactful decisions across various industries. Utilize cutting-edge tools and methodologies to transform data into actionable intelligence, providing our clients with innovative solutions to their most pressing problems.

We are looking for:

A master's degree or PhD in Data Science, Statistics, Computer Science, or a related field. Proven experience in data analysis, machine learning, and predictive modeling. Proficiency in programming languages such as Python, R, or SQL. Strong problem-solving skills and the ability to communicate complex data insights effectively. A collaborative mindset with a passion for driving tangible results.

We offer:

Competitive salary and comprehensive benefits package. Opportunities for professional growth and career advancement. A vibrant and inclusive work environment in our London office. The chance to work on high-impact projects with top-tier clients globally.

Elevate your career with us and make a significant difference in the world of data science. Apply today to be part of our forward-thinking team and help shape the future of business with data.










AMC/BR/GDS

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

Products

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

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.

Jobs

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

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.

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.