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- Tasks: Analyse complex datasets and drive data-driven decisions for product strategy.
- Company: Join 1inch, a leading DeFi ecosystem shaping financial freedom.
- Benefits: Competitive pay, unlimited vacation days, and full compensation for work gear.
- Why this job: Make an impact in a fast-paced environment with a creative team.
- Qualifications: 3+ years in data analytics, strong communication, and proficiency in SQL and Python.
- Other info: Opportunity to work remotely from European hubs and contribute to the future of DeFi.
The predicted salary is between 36000 - 60000 £ per year.
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.
We are seeking a talented Data Scientist with focus on product analytics to join our Data & Analytics team and drive data-driven decision making across our organisation. In this role, you will analyse complex datasets, conduct research, and provide valuable insights to support product strategy and business growth. You must have Data Science experience.
Key Responsibilities- Analyse and interpret large-scale on-chain and off-chain datasets to inform business decisions
- Design and maintain data collection processes and event storage systems
- Conduct research to identify patterns, trends, and growth opportunities
- Create intuitive dashboards and data visualisations for internal teams and external partners
- Propose and test hypotheses with empirical evidence
- Monitor and evaluate product metrics and user behaviour patterns
- Present findings and recommendations to stakeholders
- 3+ years of experience in data/product analytics
- BS in Computer Science, Engineering, Statistics, or related field
- Experience creating intuitive dashboards and data visualisations for internal teams and external partners
- Excellent communication skills with ability to present complex findings to diverse stakeholders
- Proficiency in creating data visualizations and building analytical dashboards (Mixpanel, Metabase)
- Intermediate SQL, Python knowledge
- Familiarity with A/B tests and Casual Inference
- Understanding of product analytics and user behaviour analysis
- Crypto/Web3 analytical stack (Dune, Nodes, Flipside)
- Low level blockchain data understanding (traces, events)
- Experience in uncovering business-driving data insights
- Join a young, creative team in a fast-paced and supportive environment
- We’re open to new ideas — if you’ve got a vision, pitch it and make it happen
- Enjoy competitive pay that matches your skills and experience
- Be part of a company that’s shaping the future of DeFi
- Take time when you need it — we offer unlimited vacation days
- Get fully compensated for your work gear — we’ll set you up for success
Data Scientist in London employer: 1inch
Contact Detail:
1inch Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to people in the DeFi space, especially those at 1inch. Use LinkedIn or Twitter to connect and engage with them. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisations and analytics projects. Make sure it’s easy to access and share. This will help you stand out and demonstrate your expertise in product analytics.
✨Tip Number 3
Prepare for the interview by brushing up on your SQL and Python skills. Be ready to discuss your past projects and how you’ve used data to drive decisions. Practice explaining complex concepts in simple terms – it’ll impress the interviewers!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at 1inch and making an impact in the DeFi world.
We think you need these skills to ace Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience in data analytics, product strategy, and any relevant tools you've used. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for DeFi and how you can contribute to our mission. Be sure to mention specific projects or experiences that showcase your analytical skills.
Showcase Your Projects: If you've worked on any interesting data projects, don’t hesitate to include them! Whether it's dashboards, visualisations, or research findings, we love seeing real examples of your work.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at 1inch
✨Know Your Data Inside Out
As a Data Scientist, you’ll be expected to analyse complex datasets. Brush up on your knowledge of both on-chain and off-chain data. Be ready to discuss specific examples of how you've used data to drive business decisions in the past.
✨Showcase Your Visualisation Skills
Since creating intuitive dashboards is key for this role, prepare to demonstrate your experience with tools like Mixpanel or Metabase. Bring along examples of dashboards you've created and be prepared to explain the insights they provided.
✨Communicate Clearly
You’ll need to present complex findings to diverse stakeholders. Practice explaining your past projects in simple terms, focusing on the impact of your work. This will show that you can bridge the gap between data and decision-making.
✨Be Ready for Hypothesis Testing
The role involves proposing and testing hypotheses. Think of a few examples where you’ve done this before and be ready to discuss your approach, the results, and how it influenced product strategy or growth opportunities.
