At a Glance
- Tasks: Lead innovative data science projects and develop cutting-edge algorithms for blockchain analysis.
- Company: Join Chainalysis, a leader in cryptocurrency data solutions with a diverse and talented team.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on mentorship and continuous learning.
- Why this job: Make a real impact in the fast-paced world of blockchain technology and data science.
- Qualifications: PhD or equivalent experience in data-intensive fields; expert in Python and SQL.
The predicted salary is between 60000 - 80000 £ per year.
Chainalysis is inspired by solving the hardest technical challenges and creating products that build trust in cryptocurrencies. We're a global organization who thrive on the challenging work we do and doing it with other exceptionally talented teammates. Our industry changes constantly, and our job is to create user-facing products supported by our best-in-class data, allowing us to adapt to those rapid changes and bring maximal value to our customers.
We're looking for a Senior Data Scientist to join our Research and Intelligence organisation in London. You'll sit within one of our four research chapters, Account and Smart Contracts, embedded in a broader eleven-person team that develops the behavioural heuristics, graph algorithms, and machine learning techniques that power the most advanced blockchain analysis in the industry. Much of what we work on is state of the art, and often ahead of academia, and your work will directly shape the data that fuels Chainalysis' products and customers across the globe.
This role is ideal for someone who is energised by deeply technical, ambiguous problems at the intersection of data science, graph computation, and on-chain analysis, and who wants to take ownership of projects end-to-end.
In this role, you'll:
- Own the execution of one or more production data science projects, translating broad problem statements into well-scoped tasks and credible analytical results that meet stakeholder expectations.
- Design, develop, and validate novel behavioral heuristics and algorithms over EVM (and other) blockchain data to attribute on-chain activity and uncover new insights.
- Apply advanced techniques including graph computation, statistical modeling, and machine learning to large-scale on-chain datasets.
- Identify and resolve inefficiencies in code, methodology, and workflows; ensure your work integrates cleanly into our production data and tooling stack.
- Clearly articulate and defend methodology and results to both technical and non-technical stakeholders, maintaining alignment through consistent communication.
- Mentor junior team members, contribute to technical hiring, and share knowledge.
- Collaborate closely with peers to bring research from prototype to production.
We're looking for candidates who have:
- A PhD in computer science, machine learning, statistics, physics, mathematics, or a related technical field – or equivalent industry experience working on advanced, data-intensive problems.
- 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.
- Comfort working with EVM-based blockchain data, or strong evidence of the aptitude to ramp up quickly on EVM data structures and protocols.
- A demonstrated ability to take ownership of projects: decomposing requirements, driving them to completion, and proactively seeking clarity from stakeholders.
- 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.
You might also have:
- Familiarity with Databricks, DBT, Spark/PySpark, or similar large-scale data platforms.
- Modified infrastructure-as-code (e.g. Terraform) or contributing to production data pipelines.
- Mentored junior data scientists or engineers.
- Knowledge of, or passion for, the cryptocurrency and blockchain space.
Technologies we use:
- Python
- SQL
- Databricks
- DBT
- PySpark / Spark
- Terraform
- AWS
- Postgres
About Chainalysis: Blockchain technology is powering a growing wave of innovation. Businesses and governments around the world are using blockchains to make banking more efficient, connect with their customers, and investigate criminal cases. As adoption of blockchain technology grows, more and more organizations seek access to all this ecosystem has to offer. That’s where Chainalysis comes in. We provide complete knowledge of what’s happening on blockchains through our data, services, and solutions. With Chainalysis, organizations can navigate blockchains safely and with confidence.
You belong here. At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.
We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here. We can’t wait to meet you.
Senior Data Scientist employer: Chainalysis
Chainalysis is an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. As a Senior Intelligence Analyst focusing on Iran, you'll be part of a globally distributed team tackling critical challenges in cryptocurrency intelligence, with ample opportunities for professional growth and development. Our commitment to diversity and inclusion, combined with cutting-edge AI tools, empowers you to make a meaningful impact while working alongside some of the brightest minds in the industry.
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We think this is how you could land Senior Data Scientist
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We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Chainalysis, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Chainalysis. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Chainalysis
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Chainalysis!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.