Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Scientist

1inch Labs
London
2 weeks ago
Create job alert
Overview

1inch is the DeFi ecosystem building financial freedom for everyone. 1inch products help users and builders trade, hold and track digital assets - with the self-custody, comprehensive security and the intuitive user experience they need to unlock the potential of true crypto ownership. 1inch protocols and APIs provide core infrastructure across the DeFi industry and beyond.

So if you’re someone who thinks big, moves fast and wants to make an impact right from day one, then get ready to join our industry-changing team.

Location: We hire with a focus on Dubai and Europe. For this role, we prefer candidates who are either based in Dubai or working remotely within +/- 4 hours GST time.

Senior Data Scientist

We’re looking for a Senior Data Scientist to help strengthen our growing Data & Analytics team. This role will play a key part in improving our data infrastructure, maintaining high data quality, and delivering fast, actionable insights across teams. They’ll also support product, business, and strategic decision-making through advanced analytics.

Responsibilities
  • Actively shaping how company uses data for strategic decisions
  • Enhance data infrastructure and tooling for improved efficiency
  • Support critical business units with ad-hoc analytics and insights
  • Conduct deep-dive research and analysis to uncover actionable findings
  • Improve data collection and analytics processes across teams
  • Ensure dashboards provide clarity, usability, and real-time visibility
Requirements
  • Minimum 5+ years of experience in data science, data analytics, or related field
  • Proven track record of implementing data infrastructure improvements and optimizations
  • Prior experience working with blockchain tools or DeFi data strongly preferred
  • Strong proficiency in SQL, Python, and data visualization tools
  • Experience with data warehousing, ETL processes, and data pipeline optimization
  • Understanding of statistical concepts and practical experience applying them
  • Ability to translate complex findings into clear, actionable insights
  • Collaborative mindset with excellent communication skills to work effectively across teams


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist - Consumer Behaviour - exciting ‘scale up’ proposition

Senior Data Scientist

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.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.