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- Tasks: Join us as a Data Scientist to enhance our investment decision-making tools.
- Company: Sequel empowers athletes to invest in startups, creating legacies and positive impacts.
- Benefits: Enjoy flexible work options, generous leave, and a £500 learning budget.
- Why this job: Be part of a dynamic team tackling unique challenges in startup investing and sports.
- Qualifications: Experience in data roles at VC firms or hedge funds; proficient in TypeScript or Python.
- Other info: We value transparency, adaptability, and a supportive culture focused on growth.
The predicted salary is between 60000 - 90000 £ per year.
! We are not working with recruiters on this role !
Sequel is a community of the world’s best athletes investing in the world’s best startups, making a positive impact.
We are on a mission to help athletes build legacies for their families and for the world.
We are a seed-stage company founded and backed by experienced serial entrepreneurs with several successful exits.
A world-class team is looking for a world-class full-time Data Scientist to help us build and improve our data tools to make better investment decisions.
What you will be working on
- Implementing tools that surface trends in the investment world
- Strengthen our data-driven methods of identifying startups
- Improve our data-driven platform Senna
We are here to win – not just to take part. Just like our clients who operate at the elite level of sport, we understand that in order to win; we need to put in the work. This means going the extra mile, being willing to do what others will not and holding ourselves to a higher standard. Some companies play to not lose, we play to win. We are proactive, decisive and have the courage to take risks.
We pay it forward – we are always helpful. To customers, to partners and most importantly to each other. Not because it will ‘pay back’, because it’s the right thing to do.
We are adaptable – we understand in a world that is changing faster than ever before – the only constant is change. The average lifespan of a Fortune 100 company in 1958 was 61 years, now it is 18 years. We adapt to a changing world, constantly iterating, moving forward and staying relevant.
Impossible is an opinion – we are on a mission to build something which has never been done before from the ground up. It will be a hard journey full of challenges which are currently unsolved. Our culture is defined by the fact that when we are confronted with challenges, we work from the assumption that it is possible to overcome them.
We are transparent – we challenge each other. Regardless of title, seniority or reporting lines. We give feedback and we are hungry to receive it. We value honest feedback delivered with kindness, and we value people who ask questions.
We always trust, respect and care for each other – it’s no easy feat working in a startup, let alone one with goals as ambitious as ours. At Sequel, we believe no one is ever too busy to support fellow team members and that we should always be helpful, inclusive and selfless in the way we work. Diversity of background and thought is celebrated as we respect and appreciate what makes us all different. We don’t tolerate free riders, egos or workplace politics.
Who You Are
- You are interested in data science and research but also in applying your insights
- You previously worked at a VC firm or hedge fund in a data-facing role
- Proficient in TypeScript or Python
- An avid learner constantly exploring new technologies and tinkering with LLMs & vector databases
- You have a big interest in building systems that handle millions of data records
- You don’t shy away from making data come to life working on the back- or if necessary also the frontend (i.e. retool)
- A brilliant communicator – you are not afraid to tell if something is going in the wrong direction and you want to correct early on
- You have an existing passion for or an interest in the worlds of startup investing and professional sport
- Bonus: You know your way around Firebase and GCP
Benefits
- Meaningful options package
- Private healthcare
- We offer perks through Juno, a holistic perks platform
- Generous parental leave policy
- We believe our best work is done together in the office, but we offer flexibility for team members to work up to 1 day per week from home
- Choose your own equipment
- 25 days off + bank holidays
- £500 per year learning and development budget
- Gym Membership Contributions
- Cycle to work scheme
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(Senior) Data Scientist (£75-90k) employer: Griffin Fire
Contact Detail:
Griffin Fire Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land (Senior) Data Scientist (£75-90k)
✨Tip Number 1
Familiarize yourself with the latest trends in data science and investment. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your experience with TypeScript or Python by working on personal projects or contributing to open-source. This hands-on experience can set you apart and demonstrate your passion for coding.
✨Tip Number 3
Network with professionals in the startup and investment space. Attend relevant meetups or webinars to connect with like-minded individuals and gain insights that could be beneficial for your application.
✨Tip Number 4
Prepare to discuss how you've previously tackled challenges in data-driven roles. Be ready to share specific examples of how you’ve made data come to life, as this aligns with our proactive and solution-oriented culture.
We think you need these skills to ace (Senior) Data Scientist (£75-90k)
Some tips for your application 🫡
Understand the Company Culture: Before applying, take some time to understand Sequel's mission and values. Highlight how your personal values align with their commitment to making a positive impact and their proactive approach to challenges.
Tailor Your CV: Make sure your CV reflects your experience in data science, particularly in investment contexts. Emphasize any relevant roles at VC firms or hedge funds, and showcase your proficiency in TypeScript or Python.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and startup investing. Share specific examples of how you've applied your insights in previous roles and how you can contribute to Sequel's goals.
Showcase Your Communication Skills: Since effective communication is key for this role, ensure that your application materials are clear and concise. Provide examples of how you've successfully communicated complex data insights in the past.
How to prepare for a job interview at Griffin Fire
✨Show Your Passion for Data Science
Make sure to express your genuine interest in data science and how it can be applied to real-world problems. Share examples of projects you've worked on that demonstrate your ability to turn data into actionable insights.
✨Demonstrate Your Technical Skills
Be prepared to discuss your proficiency in TypeScript or Python. You might be asked to solve a technical problem or explain your approach to building systems that handle large datasets, so brush up on relevant concepts and tools.
✨Communicate Clearly and Effectively
As a brilliant communicator, it's important to articulate your thoughts clearly. Practice explaining complex data concepts in simple terms, and don't hesitate to ask clarifying questions during the interview.
✨Emphasize Adaptability and Problem-Solving
Highlight your ability to adapt to changing environments and tackle challenges head-on. Share specific examples of how you've overcome obstacles in previous roles, especially in fast-paced or startup settings.
