Chainalysis on cord

Chainalysis

Staff Data Scientist

External position
London, UK
Hiring internally for Chainalysis?
Software Development
Building trust in blockchains among people, businesses, and governments.
Posted
2 days ago
Checked
cord regularly checks that external positions are still open
4 hours ago

Skills & Experience

Job roles: Data Scientist
Experience level: Senior, Lead
Core skills considered: Python, SQL, Machine Learning, Data Analysis
Other skills considered: Data Modeling, Data Pipelines, Data Warehousing, Deep Learning

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: Hybrid
Visa sponsorship: Not available

Job Description

We're looking for a Staff Data Scientist to join our Research and Intelligence organisation in London. You'll work across flexible, cross-functional squads within the Data Science team, leading analytical, statistical, and machine-learning work across both UTXO and EVM blockchains. The team develops behavioural heuristics, graph algorithms, statistical models, and machine-learning techniques that power some of the most advanced blockchain analysis in the industry. Much of the work is state of the art and ahead of academia; your work will shape the data that fuels Chainalysis products and customers globally.

This role is ideal for someone energised by deeply technical, ambiguous problems at the intersection of statistics, machine learning, algorithms, and large-scale on-chain analysis-and who wants to own multiple projects and systems end to end, shape technical direction, and deliver company-level impact.


In this role, you'll:

  • Own and prioritise multiple concurrent production data-science projects or systems, translating broad problem statements into actionable work, managing evolving requirements, and delivering measurable outcomes.
  • Design, develop, and validate novel analytical methods, statistical models, behavioural heuristics, and algorithms across UTXO, EVM, and other blockchain data to attribute on-chain activity and uncover customer-relevant insights.
  • Stay current on advances in data science and blockchain analysis; evaluate and pilot techniques such as graph computation, statistical modelling, and machine learning on large-scale on-chain datasets.
  • Identify and resolve inefficiencies in code, methodology, and workflows; make architectural decisions; define and track quality metrics; understand upstream and downstream dependencies; and balance long-term system health and technical debt against new delivery.
  • Drive cross-functional alignment by clearly articulating and defending methodology and results, challenging assumptions when warranted, and building consensus as requirements evolve.
  • Mentor team members across levels within your domain, support onboarding, contribute to technical hiring, and share knowledge through documentation and presentations.
  • Collaborate across Research, Global Intelligence, Product, and Engineering to move research from prototype to dependable production systems and create tools or platforms that multiply team output.

We're looking for candidates who have:

  • Deep expertise in statistics, machine learning, computer science, physics, mathematics, or another quantitative discipline, demonstrated through advanced industry or research work.
  • Expert-level proficiency in Python and SQL, with a track record of writing clean, testable, production-quality code.
  • Demonstrated experience applying advanced analytical techniques (e.g. graph algorithms, ML, statistical inference) to large, messy datasets.
  • Demonstrated ability to learn unfamiliar technical domains and data models quickly; prior blockchain experience is welcome but not required.
  • A demonstrated ability to own and prioritise multiple concurrent projects or systems, make sound architectural and methodological decisions, and drive cross-functional stakeholders toward delivery.
  • An analytical, open-minded approach to problem solving - comfortable navigating ambiguity and willing to dive into problems outside your day-to-day scope.
  • Strong written and verbal communication skills, including the ability to explain complex methodology to diverse audiences, mentor technical practitioners, and share knowledge across a team.

Nice to have:

  • A PhD or equivalent research training in a quantitative field, and/or familiarity with Databricks, dbt, Spark/PySpark, or similar large-scale data platforms.
  • Experience modifying infrastructure-as-code (e.g. Terraform) or contributing to production data pipelines.
  • Experience building shared tools or platforms that multiply team output and onboarding others onto them.
  • Experience with UTXO, EVM, or other blockchain data, graph computation, and/or the cryptocurrency ecosystem.
Staff Data Scientist at Chainalysis
Position posted 2 days ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
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