Data Scientist

Radley James
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Measurement Specialist

Job Title:Data Scientist

Location:London, UK

Department:Electronic Trading Solutions

Salary:Up to £80,000 (flexible for highly qualified candidates)


About the Role

A leading firm in the global FX and cryptocurrency marketplace is seeking aData Scientistto join its Electronic Trading Solutions team. This role is ideal for a data scientist who combines technical expertise with a strong analytical mindset and a passion for cutting-edge trading solutions. You will be instrumental in shaping data-driven strategies and working closely with our research and trading teams to turn complex data into actionable insights.


Key Responsibilities

  • Conduct data analysis across trading, liquidity, and risk areas, helping inform strategic decisions and optimize trading performance.
  • Build and refine analytical tools to enhance automated monitoring of trading activities and identify key trends.
  • Provide in-depth statistical analysis to uncover patterns and behaviors that can forecast performance.
  • Work with cross-functional teams, including sales and liquidity, to support client needs and drive improvements in trading systems.


Key Requirements

  • Education: Degree from a top university (Master’s or PhD in a quantitative field is beneficial but not required).
  • Experience: At least 2 years in a data science or quantitative role; finance experience is a plus but not required.
  • Technical Skills:
  • Proficient in Python with a solid grasp of libraries such asNumPyandpandas(essential).
  • Skilled in statistical modeling, data analysis, and visualization.
  • Experience working with large, complex data sets to derive actionable insights.
  • Other Requirements: Willingness to work onsite in London 4-5 days a week during the initial 1-2 months, transitioning to a hybrid model (3 days in-office) thereafter.

What’s Offered

  • Competitive base salary
  • The chance to make an impact in a dynamic, collaborative work environment at the forefront of the FX and cryptocurrency sectors.
  • Opportunities for professional growth and the chance to contribute meaningfully to the evolution of financial trading.


If you’re a highly skilled data scientist with a strong command of Python and a drive for excellence, we encourage you to apply! This is a fantastic opportunity to work in a fast-paced, innovative environment and advance your career.

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.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.