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

Apply Now

Blockchain Data Scientist

Bridge AI
City of London
1 month ago
Applications closed

Related Jobs

View all jobs

Quantitative Developer

Join to apply for the Blockchain Data Scientist role at Bridge AI


About The Role


We are looking for a talented and passionate Blockchain Data Scientist to join our team. In this role, you'll be responsible for designing and implementing cutting‑edge solutions to help secure the blockchain ecosystem.


What You’ll Do

  • Design and implement innovative solutions in the blockchain security space
  • Collaborate with cross‑functional teams to identify and address security challenges
  • Stay up‑to‑date with the latest developments in blockchain technology
  • Contribute to the growth and improvement of our platform
  • Mentor junior team members and share knowledge

Requirements

  • 3+ years of relevant experience in AI & data science
  • Strong understanding of blockchain technology and security principles
  • Excellent problem‑solving and communication skills
  • Ability to work independently in a remote environment
  • Passion for blockchain security and decentralized finance

Tech Stack

  • Solidity
  • React
  • TypeScript
  • Python
  • AWS
  • Blockchain
  • AI
  • LLMs

Similar Positions

  • VLM Research Scientist
  • AI & Data Science Remote

Seniority Level

  • Mid‑Senior level

Employment Type

  • Full‑time

Job Function

  • Engineering and Information Technology

Industries

  • Software Development

Referrals increase your chances of interviewing at Bridge AI by 2x.


Sign in to set job alerts for “Data Scientist” roles.


London, England, United Kingdom


#J-18808-Ljbffr

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.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.