Lead Data Scientist (Crypto)

London
1 year ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist (Crypto)
UK - Remote
£100,000 to £150,000 + Company Equity + Fully Remote

Excellent opportunity for a Lead Data Scientist with experience in crypto to join a fast-growing Fintech that has recently gained Series A funding, to lead the backend development and systems across the organisation.
This company are a B2B Fintech company specialising in crypto cross-border payments. Established four years ago, they already have partnerships with massive financial institutions worldwide that believe they will revolutionise cross-border payments as we know it!

In this varied role, you will be joining as a founding lead Data Scientist, owning all data science-related efforts across the organisation. This will involve designing, building and fully optimising their risk assessments and management products. Within the role, you will work closely with the product, finance and engineering teams to identify problems, challenges and opportunities using data science efforts to address these.

The ideal candidate will have good experience working within a company doing crypto-specific quantitative analysis & statistical modelling. They will come with deep data science knowledge, skills and tech stack to ultimately recommend and shape their future data science team. They will also have demonstrated experience with ML models in crypto trading applications and managerial experience.

This is a fantastic opportunity to cement and integrate yourself within a well-funded and exciting cross-payment cryptocurrency start-up before they enter the scale-up phase and become giants in the industry.

The Role:
*Own all data science-related efforts
*Design, build and optimise rise assessments and management products
*Crypto related statistics/analysis
*Work closely with product, finance and engineering teams

The Person:
*4+ Years of quantitative trading or data science experience within a crypto exchange
*Crypto-specific quantitative analysis
*Experience with ML models in crypto trading applications
*Managerial experience

Reference Number: BBBH(phone number removed)

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 Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

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

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.