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- Tasks: Join us as a Data Scientist to analyze and innovate in the blockchain ecosystem.
- Company: Exponential Science is a forward-thinking foundation focused on emerging technologies and innovation.
- Benefits: Enjoy a hybrid work environment and gain hands-on experience in deep tech research.
- Why this job: Be part of a mission-driven team tackling complex challenges with cutting-edge technology.
- Qualifications: Ideal candidates should have research experience, strong analytical skills, and a passion for blockchain.
- Other info: This role offers a unique opportunity to contribute to groundbreaking projects in cryptocurrency.
The predicted salary is between 28800 - 48000 £ per year.
Exponential Science is a foundation led by visionary founders Dr. Paolo Tasca and Nikhil Vadgama, who have advanced emerging technologies through education, research, and innovation. Recognising the power of the convergence of technologies such as blockchain, AI, and IoT to tackle complex multidisciplinary challenges, they founded Exponential Science as a natural evolution of their long-standing work, aiming to strive towards a more inclusive and innovative future for all.
Role and responsibilities
Exponential Science is looking for data scientist who can:
- Gather, review and summarise academic literature related to the research topic of interest
- Develop methodologies for creating scientific measures across the cryptocurrency and blockchain ecosystem
- Collect and process data and information related to the research topic of interest
- Write blog posts on research studies conducted by members from the Foundation
- Perform peer review and draft reviewer’s report
- Participate in research seminars
- Participate in research projects focusing on quantitative indicators among cryptocurrency communities and other DLT related subjects
- Develop ML/NLP methods to be used to extract and process information in the context of DLT
- Develop code, tools, and methodologies with regards to the cryptocurrency related projects
Skill requirements
The ideal candidates are expected to have the following qualities:
- Prior research and development experience
- Good comprehension and abstraction skills
- Grit and persistence
- Reliability
- Knowledge of statistics, time series analysis, and network theory is beneficial
- Genuine interest in research on DLT and experience working with Big Data
- Experience with AWS (desirable)
The position is suitable for candidates looking to get more experience in the field of research and development of innovative methods in deep tech. The ideal candidate is characterised by a strong knowledge of and passion for the blockchain and technology industry.
Location: London, England / Hybrid
Exponential Science is an equal opportunity employer.
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Data Scientist employer: Exponential Science Ltd
Contact Detail:
Exponential Science Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarize yourself with the latest research in blockchain and DLT. This will not only help you understand the current landscape but also allow you to engage in meaningful discussions during interviews.
✨Tip Number 2
Showcase your experience with Big Data and any relevant projects you've worked on. Be prepared to discuss specific methodologies or tools you've used, especially those related to AWS.
✨Tip Number 3
Demonstrate your passion for research by discussing any personal projects or studies you've conducted in the field of cryptocurrency or blockchain technology. This can set you apart from other candidates.
✨Tip Number 4
Prepare to talk about your understanding of statistics and network theory. Being able to articulate how these concepts apply to DLT will show your depth of knowledge and analytical skills.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and skills required for the Data Scientist position at Exponential Science. Familiarize yourself with their focus on blockchain, AI, and IoT.
Tailor Your CV: Customize your CV to highlight relevant experience in research and development, particularly in areas related to cryptocurrency, blockchain, and Big Data. Emphasize any prior work with ML/NLP methods or AWS.
Craft a Compelling Cover Letter: Write a cover letter that showcases your genuine interest in DLT and the blockchain industry. Discuss your passion for research and how your skills align with the mission of Exponential Science.
Showcase Your Research Skills: If you have previous research experience, be sure to detail it in your application. Mention any methodologies you've developed or projects you've participated in that relate to quantitative indicators or peer review processes.
How to prepare for a job interview at Exponential Science Ltd
✨Show Your Passion for DLT
Make sure to express your genuine interest in Distributed Ledger Technology (DLT) during the interview. Share any relevant projects or research you've done in this area, as it will demonstrate your commitment and enthusiasm for the field.
✨Highlight Your Research Experience
Be prepared to discuss your prior research and development experience in detail. Talk about specific methodologies you've used, challenges you've faced, and how you overcame them. This will showcase your grit and persistence, which are key qualities for this role.
✨Demonstrate Your Technical Skills
Since the role involves developing ML/NLP methods and working with Big Data, be ready to discuss your technical skills. Provide examples of tools and technologies you've used, especially if you have experience with AWS or statistical analysis.
✨Prepare for Peer Review Discussions
As peer review is part of the responsibilities, think about your approach to providing constructive feedback. Be ready to discuss how you would draft a reviewer’s report and what you consider important when evaluating research studies.
